{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from sklearn.preprocessing import OneHotEncoder\n",
    "\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import plotly_express as px\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "style = sns.set_style(style=\"dark\")\n",
    "sns.set_theme(style=style)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('./datasets/dubizzle_cars_dataset.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exploratory Data Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(9953, 27)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>price</th>\n",
       "      <th>kilometers</th>\n",
       "      <th>year</th>\n",
       "      <th>vehicle_age_years</th>\n",
       "      <th>doors</th>\n",
       "      <th>seating_capacity</th>\n",
       "      <th>no_of_cylinders</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>9953.000000</td>\n",
       "      <td>9.953000e+03</td>\n",
       "      <td>9953.000000</td>\n",
       "      <td>9953.000000</td>\n",
       "      <td>9953.000000</td>\n",
       "      <td>9953.000000</td>\n",
       "      <td>9953.000000</td>\n",
       "      <td>9580.000000</td>\n",
       "      <td>9580.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>162009.236311</td>\n",
       "      <td>8.187313e+04</td>\n",
       "      <td>2018.118155</td>\n",
       "      <td>5.881845</td>\n",
       "      <td>3.964533</td>\n",
       "      <td>4.597408</td>\n",
       "      <td>5.751432</td>\n",
       "      <td>25.117984</td>\n",
       "      <td>55.232448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>187120.064955</td>\n",
       "      <td>9.029117e+04</td>\n",
       "      <td>5.163806</td>\n",
       "      <td>5.163806</td>\n",
       "      <td>0.948349</td>\n",
       "      <td>1.795174</td>\n",
       "      <td>2.195505</td>\n",
       "      <td>0.220519</td>\n",
       "      <td>0.262072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1000.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1956.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>23.651535</td>\n",
       "      <td>53.701969</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>44900.000000</td>\n",
       "      <td>1.894100e+04</td>\n",
       "      <td>2016.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>25.078641</td>\n",
       "      <td>55.207465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>92000.000000</td>\n",
       "      <td>6.800000e+04</td>\n",
       "      <td>2019.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>25.168752</td>\n",
       "      <td>55.263450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>205000.000000</td>\n",
       "      <td>1.225000e+05</td>\n",
       "      <td>2022.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>25.217623</td>\n",
       "      <td>55.379422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>999900.000000</td>\n",
       "      <td>2.580000e+06</td>\n",
       "      <td>2024.000000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>25.868224</td>\n",
       "      <td>56.347195</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               price    kilometers         year  vehicle_age_years  \\\n",
       "count    9953.000000  9.953000e+03  9953.000000        9953.000000   \n",
       "mean   162009.236311  8.187313e+04  2018.118155           5.881845   \n",
       "std    187120.064955  9.029117e+04     5.163806           5.163806   \n",
       "min      1000.000000  0.000000e+00  1956.000000           0.000000   \n",
       "25%     44900.000000  1.894100e+04  2016.000000           2.000000   \n",
       "50%     92000.000000  6.800000e+04  2019.000000           5.000000   \n",
       "75%    205000.000000  1.225000e+05  2022.000000           8.000000   \n",
       "max    999900.000000  2.580000e+06  2024.000000          68.000000   \n",
       "\n",
       "             doors  seating_capacity  no_of_cylinders     latitude  \\\n",
       "count  9953.000000       9953.000000      9953.000000  9580.000000   \n",
       "mean      3.964533          4.597408         5.751432    25.117984   \n",
       "std       0.948349          1.795174         2.195505     0.220519   \n",
       "min       2.000000          0.000000         0.000000    23.651535   \n",
       "25%       4.000000          4.000000         4.000000    25.078641   \n",
       "50%       4.000000          5.000000         6.000000    25.168752   \n",
       "75%       5.000000          5.000000         8.000000    25.217623   \n",
       "max       5.000000          8.000000        12.000000    25.868224   \n",
       "\n",
       "         longitude  \n",
       "count  9580.000000  \n",
       "mean     55.232448  \n",
       "std       0.262072  \n",
       "min      53.701969  \n",
       "25%      55.207465  \n",
       "50%      55.263450  \n",
       "75%      55.379422  \n",
       "max      56.347195  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 9953 entries, 0 to 9952\n",
      "Data columns (total 27 columns):\n",
      " #   Column              Non-Null Count  Dtype  \n",
      "---  ------              --------------  -----  \n",
      " 0   price               9953 non-null   int64  \n",
      " 1   brand               9953 non-null   object \n",
      " 2   model               9953 non-null   object \n",
      " 3   trim                9941 non-null   object \n",
      " 4   kilometers          9953 non-null   int64  \n",
      " 5   year                9953 non-null   int64  \n",
      " 6   vehicle_age_years   9953 non-null   int64  \n",
      " 7   regional_specs      9953 non-null   object \n",
      " 8   doors               9953 non-null   int64  \n",
      " 9   body_type           9953 non-null   object \n",
      " 10  fuel_type           9953 non-null   object \n",
      " 11  seating_capacity    9953 non-null   int64  \n",
      " 12  transmission_type   9953 non-null   object \n",
      " 13  engine_capacity_cc  7992 non-null   object \n",
      " 14  horsepower          9495 non-null   object \n",
      " 15  no_of_cylinders     9953 non-null   int64  \n",
      " 16  exterior_color      9953 non-null   object \n",
      " 17  interior_color      9953 non-null   object \n",
      " 18  warranty            9953 non-null   object \n",
      " 19  address             9953 non-null   object \n",
      " 20  country             9953 non-null   object \n",
      " 21  city                9953 non-null   object \n",
      " 22  area_name           9334 non-null   object \n",
      " 23  location_name       4633 non-null   object \n",
      " 24  latitude            9580 non-null   float64\n",
      " 25  longitude           9580 non-null   float64\n",
      " 26  seller_type         9953 non-null   object \n",
      "dtypes: float64(2), int64(7), object(18)\n",
      "memory usage: 2.1+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>price</th>\n",
       "      <th>brand</th>\n",
       "      <th>model</th>\n",
       "      <th>trim</th>\n",
       "      <th>kilometers</th>\n",
       "      <th>year</th>\n",
       "      <th>vehicle_age_years</th>\n",
       "      <th>regional_specs</th>\n",
       "      <th>doors</th>\n",
       "      <th>body_type</th>\n",
       "      <th>...</th>\n",
       "      <th>interior_color</th>\n",
       "      <th>warranty</th>\n",
       "      <th>address</th>\n",
       "      <th>country</th>\n",
       "      <th>city</th>\n",
       "      <th>area_name</th>\n",
       "      <th>location_name</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>seller_type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4810</th>\n",
       "      <td>64900</td>\n",
       "      <td>Toyota</td>\n",
       "      <td>Hilux</td>\n",
       "      <td>Double Cab GL</td>\n",
       "      <td>143797</td>\n",
       "      <td>2019</td>\n",
       "      <td>5</td>\n",
       "      <td>GCC Specs</td>\n",
       "      <td>4</td>\n",
       "      <td>Pick Up Truck</td>\n",
       "      <td>...</td>\n",
       "      <td>Unknown</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Al Quoz Industrial Area 3, Al Quoz Industrial ...</td>\n",
       "      <td>UAE</td>\n",
       "      <td>Dubai</td>\n",
       "      <td>Al Quoz</td>\n",
       "      <td>Al Quoz Industrial Area</td>\n",
       "      <td>25.152410</td>\n",
       "      <td>55.234100</td>\n",
       "      <td>Dealer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6935</th>\n",
       "      <td>43500</td>\n",
       "      <td>Nissan</td>\n",
       "      <td>Pathfinder</td>\n",
       "      <td>SL</td>\n",
       "      <td>113258</td>\n",
       "      <td>2014</td>\n",
       "      <td>10</td>\n",
       "      <td>GCC Specs</td>\n",
       "      <td>4</td>\n",
       "      <td>SUV</td>\n",
       "      <td>...</td>\n",
       "      <td>Beige</td>\n",
       "      <td>No</td>\n",
       "      <td>Al Barsha 2, Al Barsha, Dubai, UAE</td>\n",
       "      <td>UAE</td>\n",
       "      <td>Dubai</td>\n",
       "      <td>Al Barsha</td>\n",
       "      <td>Al Barsha 2</td>\n",
       "      <td>25.101998</td>\n",
       "      <td>55.216899</td>\n",
       "      <td>Owner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3341</th>\n",
       "      <td>64000</td>\n",
       "      <td>Suzuki</td>\n",
       "      <td>Fronx</td>\n",
       "      <td>Other</td>\n",
       "      <td>1190</td>\n",
       "      <td>2024</td>\n",
       "      <td>0</td>\n",
       "      <td>GCC Specs</td>\n",
       "      <td>5</td>\n",
       "      <td>Hatchback</td>\n",
       "      <td>...</td>\n",
       "      <td>Black</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Al Quoz, Dubai, UAE</td>\n",
       "      <td>UAE</td>\n",
       "      <td>Dubai</td>\n",
       "      <td>Al Quoz</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.117721</td>\n",
       "      <td>55.235781</td>\n",
       "      <td>Dealer</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 27 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      price   brand       model           trim  kilometers  year  \\\n",
       "4810  64900  Toyota       Hilux  Double Cab GL      143797  2019   \n",
       "6935  43500  Nissan  Pathfinder             SL      113258  2014   \n",
       "3341  64000  Suzuki       Fronx          Other        1190  2024   \n",
       "\n",
       "      vehicle_age_years regional_specs  doors      body_type  ...  \\\n",
       "4810                  5      GCC Specs      4  Pick Up Truck  ...   \n",
       "6935                 10      GCC Specs      4            SUV  ...   \n",
       "3341                  0      GCC Specs      5      Hatchback  ...   \n",
       "\n",
       "     interior_color  warranty  \\\n",
       "4810        Unknown       Yes   \n",
       "6935          Beige        No   \n",
       "3341          Black       Yes   \n",
       "\n",
       "                                                address country   city  \\\n",
       "4810  Al Quoz Industrial Area 3, Al Quoz Industrial ...     UAE  Dubai   \n",
       "6935                 Al Barsha 2, Al Barsha, Dubai, UAE     UAE  Dubai   \n",
       "3341                                Al Quoz, Dubai, UAE     UAE  Dubai   \n",
       "\n",
       "      area_name            location_name   latitude  longitude seller_type  \n",
       "4810    Al Quoz  Al Quoz Industrial Area  25.152410  55.234100      Dealer  \n",
       "6935  Al Barsha              Al Barsha 2  25.101998  55.216899       Owner  \n",
       "3341    Al Quoz                      NaN  25.117721  55.235781      Dealer  \n",
       "\n",
       "[3 rows x 27 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sample(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "numDF = df.select_dtypes(include=['int64','float64'])\n",
    "numDF.to_csv('./datasets/numDF.csv', index=False)\n",
    "catDF = df.select_dtypes(include=['object'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Unique values of  price = 1351\n",
      "Unique values of  kilometers = 3190\n",
      "Unique values of  year = 54\n",
      "Unique values of  vehicle_age_years = 54\n",
      "Unique values of  doors = 4\n",
      "Unique values of  seating_capacity = 7\n",
      "Unique values of  no_of_cylinders = 8\n",
      "Unique values of  latitude = 379\n",
      "Unique values of  longitude = 379\n",
      "Missing values:\n",
      " price                  0\n",
      "kilometers             0\n",
      "year                   0\n",
      "vehicle_age_years      0\n",
      "doors                  0\n",
      "seating_capacity       0\n",
      "no_of_cylinders        0\n",
      "latitude             373\n",
      "longitude            373\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# unique column values and missing values for each column\n",
    "for i in numDF.columns:\n",
    "    print('Unique values of ',numDF[i].name,'=',numDF[i].nunique())\n",
    "\n",
    "print('Missing values:\\n', pd.isna(numDF).sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Missing values heatmap')"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# heatmap of missing values\n",
    "cols = df.columns[:30]\n",
    "fig, ax = plt.subplots(figsize = (10,10))\n",
    "\n",
    "colours = ['#0b011e', '#f07c0f'] \n",
    "\n",
    "fig= sns.heatmap(df[cols].isnull(), cmap=sns.color_palette(colours))\n",
    "plt.title('Missing values heatmap')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Unique values of  brand = 89\n",
      "Unique values of  model = 634\n",
      "Unique values of  trim = 813\n",
      "Unique values of  regional_specs = 8\n",
      "Unique values of  body_type = 13\n",
      "Unique values of  fuel_type = 4\n",
      "Unique values of  transmission_type = 2\n",
      "Unique values of  engine_capacity_cc = 10\n",
      "Unique values of  horsepower = 11\n",
      "Unique values of  exterior_color = 17\n",
      "Unique values of  interior_color = 10\n",
      "Unique values of  warranty = 3\n",
      "Unique values of  address = 511\n",
      "Unique values of  country = 1\n",
      "Unique values of  city = 8\n",
      "Unique values of  area_name = 241\n",
      "Unique values of  location_name = 226\n",
      "Unique values of  seller_type = 3\n",
      "Missing values:\n",
      " brand                    0\n",
      "model                    0\n",
      "trim                    12\n",
      "regional_specs           0\n",
      "body_type                0\n",
      "fuel_type                0\n",
      "transmission_type        0\n",
      "engine_capacity_cc    1961\n",
      "horsepower             458\n",
      "exterior_color           0\n",
      "interior_color           0\n",
      "warranty                 0\n",
      "address                  0\n",
      "country                  0\n",
      "city                     0\n",
      "area_name              619\n",
      "location_name         5320\n",
      "seller_type              0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# unique column values and missing values for each column\n",
    "for i in catDF.columns:\n",
    "    print('Unique values of ',catDF[i].name,'=',catDF[i].nunique())\n",
    "\n",
    "print('Missing values:\\n', pd.isna(catDF).sum())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Diagrams"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # full pairplot\n",
    "# g = sns.PairGrid(df, diag_sharey=False)\n",
    "# g.map_upper(sns.scatterplot)\n",
    "# g.map_lower(sns.kdeplot)\n",
    "# g.map_diag(sns.kdeplot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Concigency table for Numeric values')"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# concigency table of numeric values\n",
    "corr = numDF.corr()\n",
    "\n",
    "mask = np.triu(np.ones_like(corr, dtype=bool))\n",
    "\n",
    "f, ax = plt.subplots(figsize=(10, 5))\n",
    "\n",
    "sns.heatmap(corr, mask=mask, cmap='magma', vmax=.3, center=0,\n",
    "            square=True, linewidths=.05, annot=True)\n",
    "\n",
    "plt.title('Concigency table for Numeric values')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ivprint\\AppData\\Local\\Temp\\ipykernel_17316\\474907208.py:7: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
      "  ax.set_xticklabels(labels=df.brand.unique(), rotation = 90)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\f\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABOIAAAJRCAYAAADoCBinAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdd3QUZeP28WvTCKFpQAkiTRRCSwg9NBGQBykPIOIjVWmC9A4C0gm9aGihI4Qi0pEm2JAeUAEBKdIRkE4gpM77R97sL5vdJBvKJpDv5xzOITP3zt6TnczOXHMXk2EYhgAAAAAAAAA8U06pXQEAAAAAAAAgPSCIAwAAAAAAAByAIA4AAAAAAABwAII4AAAAAAAAwAEI4gAAAAAAAAAHIIgDAAAAAAAAHIAgDgAAAAAAAHAAgjgAAAAAAADAAQjiAAAAgKfIMIzUrgIAAEijCOIAAAD+vyNHjqhv376qVq2afHx8VLNmTX3xxRe6ePHiM3vP1atXq3Dhwrp06dIze4/HFRgYqMKFC6d2NZ666tWra8CAAU+8nX379qlw4cLat2+fJOnq1av69NNPdfny5SfeNgAAeDERxAEAAEgKDg7WRx99pJs3b6p3796aM2eOPv30U+3fv18ffPCBTpw4kdpVRBpTrFgxrVixQsWKFZMk7d69Wz///HMq1woAAKRlLqldAQAAgNR28OBBjR49Ws2bN9egQYPMy8uXL6+aNWuqYcOGGjhwoFavXp2KtURakzlzZpUsWTK1qwEAAJ4jtIgDAADp3rx585QlSxb16tXLap2np6cGDBigGjVq6OHDh5KkR48eadKkSapVq5aKFy+uUqVKqXXr1jp+/Lj5dQMGDNDHH3+soUOHqlSpUqpTp46io6MTrcOhQ4fUsGFDFS9eXPXq1dOmTZvM6y5duqTChQtrwYIFql27tnx9fbVq1SpJ0vbt29WsWTP5+fmpePHiql27toKDg82vjes+uWfPHrVp00a+vr6qVKmSJkyYYFGf8PBwjRkzRpUqVZKfn58+//xzhYeHW9Tx1q1b6t27typVqqQSJUqoQYMGWrt2bZK/25YtW2rAgAGaNWuWKlasqNKlS6tTp05W3TePHDmitm3bqnz58ipVqpQ6duyoU6dOWe3Hr7/+qubNm8vHx0e1atXS0qVLrX5PCQPTAQMGqHr16onW8dKlS+rXr58qV66sYsWKyd/fX/369dPt27fNZapXr66AgAB9/PHH8vHx0aBBgyy6pq5evVqff/65JKlGjRoaMGCAxo0bJx8fH92/f9/i/WbMmKHSpUsrLCwsyd8dAAB48dAiDgAApGuGYejXX39V9erVlTFjRptl6tSpY/Fzv379FBISol69eilv3rw6f/68vvzyS/Xu3VvfffedTCaTJCkkJEQZMmTQ9OnT9fDhQzk7OydajyFDhuizzz5TkSJFtGbNGvXs2VNubm6qWbOmuUxgYKAGDRqkzJkzy9fXVz/99JM6d+6sVq1aqWvXrnr06JGWLl2qESNGqHjx4vL19TW/tk+fPmrWrJnat2+vn376SXPnzlWePHn00UcfSZL69u2rnTt3qmfPnsqXL59WrFihDRs2WNSxb9++unnzpoYPH67MmTNr3bp16t+/v7y8vFShQoVE923Hjh16+eWXNXjwYMXExGjSpElq2bKlvvvuO2XMmFF79+5Vu3btVL58eQUEBCg8PFxBQUH66KOP9M0336hgwYLmbfXs2VMNGzZUx44dtWPHDg0fPlyS1KxZs0TfPylhYWFq1aqVXn75ZQ0dOlRZsmTRb7/9pmnTpsnd3V0jRowwlw0ODlbr1q3Vvn17ZcqUSREREeZ11apV02effaaZM2dq2rRpKly4sCIjIzV//nxt2bJFTZo0MZddt26d6tSpk+jxBgAAXlwEcQAAIF27ffu2wsPD9frrr9tVPiIiQg8ePNDgwYPNAV25cuUUGhqqsWPH6saNG3rllVckSVFRURoxYoS8vLyS3W7Xrl3Vtm1bSVLVqlV17tw5zZgxwyKIe++999S4cWPzzxs3blSjRo0sutP6+fmpfPny2rdvn0UQ16RJE3Xu3FmS5O/vr+3bt+unn37SRx99pFOnTmnr1q0aNmyYmjZtKkmqUqWK6tevr9OnT5u3sX//fnXu3Nlcp3Llyumll16Sm5tbkvsWFham1atXK0+ePJKkN954Q40aNdLatWvVtGlTTZo0Sfny5dPs2bPNYWXlypX17rvv6quvvtKXX35p3ta7775r3t8qVaro+vXrmjFjhrneKXXu3Dl5eXlp3Lhx5vpVqFBBf/zxh/bv329R9rXXXlOfPn3MP8dN0iDFtpzMmzevJKlIkSLm48nPz0/r1q0zB3GHDh3SuXPnNHbs2MeqLwAAeL4RxAEAgHQtLvhJqttofG5ubpo3b54k6dq1azp79qzOnTunH3/8UZIsWkm99NJLdoVwknWru5o1ayowMFAPHjwwLytSpIhFmXbt2kmSHjx4oLNnz+rChQs6cuSIVT2k2EAoPi8vL3NX25CQEEmy6L7p5OSk//znPxZBXPny5RUYGKhjx46pSpUqevvtt9W/f/9k961UqVLmkEuSihYtqjx58ujAgQNq0KCBjhw5oi5duli0GMyaNaveeecdq8kPGjVqZPFzrVq1tGPHDp09ezbZQNCWIkWKaOnSpYqJidG5c+d0/vx5nT59Wn///beioqKsyqZU48aN9cUXX+jy5cvKnTu31qxZowIFClh9HgAAIH0giAMAAOlatmzZlClTJl25ciXRMg8fPlRkZKSyZcsmSdq5c6cCAgL0999/K1OmTPL29paHh4ek2K6ucTJlymR3PXLkyGHxc/bs2WUYhkJDQ83L4t4jzq1btzR06FBt375dJpNJ+fLlU5kyZazqIUnu7u4WPzs5OZnL3L17V5L08ssvW5SJa9kXZ8qUKZo1a5Y2b96srVu3ysnJSRUrVtSIESOUO3fuRPctZ86cVsuyZ8+uu3fv6v79+zIMw2r/pdjfScLx1RJuK3v27OZ9SFhfey1YsECzZs3SnTt3lCNHDhUvXlwZM2a0eu+Ev3971KlTRwEBAVq3bp3atm2rzZs369NPP32segIAgOcfkzUAAIB0r3Llytq3b5/V5ARxvvnmG1WoUEF//vmnLly4oM6dO6tIkSL6/vvvdfDgQS1dulTvvPPOE9UhLgyLc+PGDTk7O5vDP1v69OmjI0eOaOHChfr999+1efNmDRw4MMXvHRfA3bhxw2L5nTt3LH7OkiWL+vbtqx9++EGbN29Wr169dOjQIfM4bYmJP+lBnBs3bsjT01NZsmSRyWSyem9J+vfff/XSSy8lua2bN29Kig3k4sbmS9i6Ma7lny0bNmzQ2LFj1b59e+3Zs0e7du1SUFCQ8ufPn+Q+2StTpkyqXbu2Nm/erJ07d+rhw4dq0KDBU9k2AAB4/hDEAQCAdK9Nmza6c+eOpk6darXu33//1fz58/Xmm2+qWLFiOnr0qMLDw/Xpp58qb9685vBn586dkqxbotnrp59+Mv8/JiZGW7Zska+vr1VLtvgOHjyoWrVqqXz58uZumb/88ot5G/aKm2hhy5YtFsvjuttK0uXLl/X222+by7zxxhtq3769KlasmGRrwrh6xg/Qjh49qkuXLsnf318eHh4qXry4Nm/ebBGg3b9/Xz/99JNKly5tsa3t27db/Lxlyxblzp1befPmVebMmSXFdhmOExkZqcOHDydZt6xZs6pdu3by9PSUFNvV9+DBgyn6HUqxrQxt+eCDD3Ty5EktWrRIFStWtNlCEAAApA90TQUAAOleyZIl1b17d02dOlVnzpxRw4YN9fLLL+vUqVOaN2+ewsPDzSFdsWLF5OLiogkTJqhNmzaKiIjQ6tWrzUFaUq2vkjJ16lRFR0crV65cWrZsmc6ePasFCxYk+RofHx9t2LBBxYoVk5eXlw4dOqTZs2fLZDIpLCzM7vfOly+f/ve//2nKlCmKiopSkSJFtG7dOv3111/mMrlz55aXl5dGjRql0NBQ5c2bV0ePHtXPP/+sDh06JLn9sLAwtWvXTp999pkePHigKVOmqFChQqpXr54kqXfv3mrbtq0+/fRTNWvWTJGRkZo9e7YiIiLME0zEWbBggTJkyKCSJUtq27Zt+vHHHzVp0iRJsd2M/fz8tHjxYuXLl0/ZsmXT119/rUePHiXardTHx0fLli3T2LFj9c477+j69euaN2+ebty4kWRrRFuyZs0qSfr+++9VtWpV82yvpUuXVoECBbR//35NmTIlRdsEAAAvFoI4AAAASZ999pmKFi2q4OBgBQQE6O7du8qVK5eqVaumjh07KleuXJJiQ6tJkyZp2rRp+uyzz5QtWzaVLFlSixcvVsuWLRUSEqLChQun+P3HjBmjsWPH6vz58ypUqJDmzJmjcuXKJfmasWPHauTIkRo5cqQkKX/+/Bo+fLjWr19vnoDBXkOHDlWOHDm0ZMkS3b17V1WqVFHHjh0tWglOmzZNkydP1pdffqnbt28rV65c6tKlS7JjnpUpU0YVKlQwz3ZavXp19evXz9yKz9/fXwsWLNBXX32lXr16yc3NTWXKlNG4ceP01ltvWWxr4MCBWrNmjYKCgvTGG2/oq6++0n/+8x+r38ngwYOVOXNmffDBBypdurRWrlxps26NGjXSpUuXtGrVKi1dulQ5c+bU22+/rWbNmumLL77QmTNnzIFacsqXL6+KFStq0qRJ2rNnj2bPnm1eV61aNd26dctiFlwAAJD+mIzH7T8BAAAAJKNly5aSpMWLFz/Rdvbt26dWrVrp66+/Vvny5Z9G1RzGMAzVrVtXlStXfqwx/AAAwIuDFnEAAADAMxAaGqqFCxfqyJEjunjxojmUBAAA6RdBHAAAAPAMuLu7a/ny5YqJiVFAQIDy5MmT2lUCAACpjK6pAAAAAAAAgAPYnmMdAAAAAAAAwFOVpoK4oKAgq7Ezrl+/rl69eqlMmTIqX768evfurVu3blmUCQ4OVo0aNeTj46NmzZrp2LFjFusvXbqkDh06qFSpUqpcubKmTp2q6OjoZ74/AAAAAAAAQJw0E8QFBwdr6tSpFssiIiLUpk0bXblyRV9//bVmz56tEydOqH///uYya9as0fjx49W9e3etXr1ar7/+ulq3bm0O6yIjI9W2bVtJ0vLlyzVs2DAtW7ZM06dPd9i+AQAAAAAAAKkexF27dk0dO3bUxIkTlT9/fot1Gzdu1OXLlzVt2jQVLVpUvr6+GjBggM6ePavQ0FBJ0qxZs9SiRQv997//1ZtvvqmAgABlzJhRK1eulCRt3bpVV65c0fjx41WoUCHVrFlTvXr10qJFixQREeHo3QUAAAAAAEA6leqzpv75559ydXXV+vXrNX36dF2+fNm87tdff1WFChWUI0cO87IqVapo+/btkqSbN2/q3Llz8vf3N693cXFRmTJldODAAXXo0EEhISEqVqyYsmXLZi5ToUIFhYaG6vjx4/L19X2sehuGoZgY5rkAAAAAAABIz5ycTDKZTHaVTfUgrnr16qpevbrNdWfPnlWZMmU0ffp0rV27VlFRUapcubL69u2rrFmz6urVq5KkXLlyWbzu1Vdf1YkTJyRJV69elZeXl9V6Sfrnn38eO4iLiTF069aDx3otAAAAAAAAXgyenpnk7GxfEJfqXVOTEhoaqrVr1+qvv/7SpEmTNGLECB08eFCdOnWSYRgKCwuTJLm5uVm8LkOGDAoPD5ckPXr0yOZ6SeYyAAAAAAAAwLOW6i3ikuLi4iIPDw9NmjRJrq6ukqRs2bKpSZMmOnLkiNzd3SXJaqy38PBwZcyYUZLk7u5uc70keXh4POtdAAAAAAAAACSl8RZxXl5eKlCggDmEk6S33npLknTp0iVzl9Tr169bvO769evKmTOneRu21ksylwEAAAAAAACetTQdxJUtW1YnTpzQo0ePzMtOnjwpScqXL5+yZ8+uAgUKaN++feb1UVFRCgkJUdmyZc3bOHbsmHmWVUnau3evMmXKJG9vbwftCQAAAAAAANK7NB3EffTRR3J2dlbv3r116tQpHTx4UIMHD1b58uVVrFgxSVKbNm20YMECrVmzRqdPn9bAgQP16NEjffDBB5KkmjVr6pVXXlGPHj104sQJbd++XZMnT1abNm2sxo4DAAAAAAAAnpU0PUacp6engoODNWbMGDVp0kRubm6qWbOmBgwYYC7z4Ycf6v79+5o6daru3Lmj4sWLa8GCBfL09JQUOzHD3LlzNXz4cH344YfKli2bmjVrpk6dOqXWbgEAAAAAACAdMhmGYaR2JZ5H0dExunXrQWpXAwAAAAAAAKnI0zOTnJ3t63SaprumAgAAAAAAAC8KgjgAAAAAAADAAQjiAAAAAAAAAAcgiAMAAAAAAAAcgCAOAAAAAAAAcACCOAAAAAAAAMABCOIAAAAAAAAAByCIAwAAAAAAABzAJbUrAABJMZkkyZSCVxgyjGdUGQAAAAAAngBBHIA0y2SSsr3kIVcXZ7tfExkVrbt3HhLGAQAAAADSHII4AGmYSa4uzpocHKLQhxHJls7s4aZezcsotgUdSRwAAAAAIG0hiAOQ5oU+jND9h5GpXQ0AAAAAAJ4IkzUAAAAAAAAADkAQBwAAAAAAADgAQRwAAAAAAADgAARxAAAAAAAAgAMQxAEAAAAAAAAOQBAHAAAAAAAAOABBHAAAAAAAAOAABHEAAAAAAACAAxDEAQAAAAAAAA5AEAcAAAAAAAA4AEEcAAAAAAAA4AAEcQAAAAAAAIADEMQBAAAAAAAADkAQBwAAAAAAADgAQRwAAAAAAADgAARxAAAAAAAAgAMQxAEAAAAAAAAOQBAHAAAAAAAAOABBHAAAAAAAAOAABHEAAAAAAACAAxDEAQAAAAAAAA5AEAcAAAAAAAA4AEEcAAAAAAAA4AAEcQAAAAAAAIADpKkgLigoSC1btkx0/eDBg1W9enWLZTExMfrqq69UpUoVlSxZUu3bt9fFixctyhw/flwtWrRQyZIlVb16dX399dfPpP4AAAAAAABAYtJMEBccHKypU6cmun779u1auXKl1fIZM2Zo6dKlGjlypJYvX66YmBi1a9dOERERkqTbt2+rdevWyps3r1atWqXOnTtr4sSJWrVq1bPaFQAAAAAAAMBKqgdx165dU8eOHTVx4kTlz5/fZpnr16/riy++ULly5SyWR0REaP78+erWrZuqVasmb29vTZkyRVevXtW2bdskSd98841cXV01YsQIFSxYUI0bN9Ynn3yi2bNnP+tdAwAAAAAAAMxSPYj7888/5erqqvXr18vX19dqvWEYGjBggBo0aGAVxJ04cUIPHjyQv7+/eVnWrFlVtGhRHThwQJIUEhKicuXKycXFxVymQoUKOnfunG7cuPGM9goAAAAAAACwlOpBXPXq1RUYGKg8efLYXL9w4UL9+++/6tWrl9W6q1evSpJy5cplsfzVV181r7t69aq8vLys1kvSP//888T1BwAAAAAAAOzhknyR1HPixAlNmzZNwcHBcnNzs1ofFhYmSVbrMmTIoLt370qSHj16ZHO9JIWHhz+LagMAAAAAAABWUr1FXGLCw8PVp08fffbZZ/L29rZZxt3dXZLMEzPEf23GjBnNZWytlyQPD4+nXW0AAAAAAADApjTbIu6PP/7QqVOnNG3aNE2fPl2SFBkZqaioKPn5+WnOnDnmLqnXr19X3rx5za+9fv26ChcuLEny8vLS9evXLbYd93POnDkdsSsAAAAAAABA2g3ifHx8zDOfxlm8eLG2bdumxYsXK2fOnHJyclLmzJm1b98+cxB37949HTt2TC1atJAklS1bVsuXL1d0dLScnZ0lSXv37lWBAgWUPXt2x+4UAAAAAAAA0q00G8S5u7srX758FsuyZcsmFxcXi+UtWrTQxIkT5enpqdy5c2vChAny8vJSrVq1JEmNGzfW3LlzNWjQILVr106HDx/WwoULNXz4cIfuDwAAAAAAANK3NBvE2atbt26KiorS4MGD9ejRI5UtW1bz5s2Tq6urJCl79uyaO3euRo8erUaNGumVV15Rv3791KhRo1SuOQAAAAAAANITk2EYRmpX4nkUHR2jW7cepHY1gBeayWRSjhyZNWLObt1/GJls+SwerhrSvqJu3AgVpzYAAAAAgCN4emaSs7N986Gm2VlTAQAAAAAAgBcJQRwAAAAAAADgAARxAAAAAAAAgAMQxAEAAAAAAAAOQBAHAAAAAAAAOABBHAAAAAAAAOAABHEAAAAAAACAAxDEAQAAAAAAAA5AEAcAAAAAAAA4AEEcAAAAAAAA4AAEcQAAAAAAAIADEMQBAAAAAAAADkAQBwAAAAAAADgAQRwAAAAAAADgAARxAAAAAAAAgAMQxAEAAAAAAAAOQBAHAAAAAAAAOABBHAAAAAAAAOAABHEAAAAAAACAAxDEAQAAAAAAAA5AEAcAAAAAAAA4AEEcAAAAAAAA4AAEcQAAAAAAAIADEMQBAAAAAAAADkAQBwAAAAAAADgAQRwAAAAAAADgAARxAAAAAAAAgAMQxAEAAAAAAAAOQBAHAAAAAAAAOABBHAAAAAAAAOAABHEAAAAAAACAAxDEAQAAAAAAAA5AEAcAAAAAAAA4AEEcAAAAAAAA4AAEcQAAAAAAAIADEMQBAAAAAAAADpCmgrigoCC1bNnSYtkPP/ygxo0by8/PT9WrV9e4ceP06NEj8/rw8HANHz5c/v7+8vPzU+/evXXr1i2LbezZs0fvv/++fH19Vbt2bX333XcO2R8AAAAAAAAgTpoJ4oKDgzV16lSLZSEhIerSpYveffddrVmzRkOHDtWmTZs0fPhwc5lhw4bp119/VWBgoBYtWqS///5b3bp1M68/c+aMOnTooCpVqmj16tVq0qSJ+vXrpz179jhq1wAAAAAAAAC5pHYFrl27pqFDh2rfvn3Knz+/xbrly5erfPny6tixoyQpf/786tmzpwYPHqzhw4fr9u3bWrt2rWbNmqUyZcpIkiZPnqzatWvrt99+k5+fnxYtWqTChQurZ8+ekqSCBQvq2LFjmjt3rvz9/R26rwAAAAAAAEi/Ur1F3J9//ilXV1etX79evr6+FuvatGmj/v37WyxzcnJSZGSkQkNDdfDgQUlShQoVzOsLFCignDlz6sCBA5JiW9UlDNwqVKiggwcPyjCMZ7FLAAAAAAAAgJVUbxFXvXp1Va9e3ea6okWLWvwcGRmphQsXqnjx4vL09NS1a9f08ssvK0OGDBblXn31VV29elWSdPXqVXl5eVmtDwsL0+3bt+Xp6fkU9wYAAAAAAACwLdWDOHtFRUWpX79+OnXqlIKDgyVJYWFhcnNzsyqbIUMGhYeHS5IePXpkVSbu54iIiGdcawAAAAAAACDWcxHEhYaGqkePHtq/f7+mTZsmHx8fSZK7u7vNMC08PFwZM2aUFBvKJSwT93NcGQAAAAAAAOBZS/NB3PXr19W+fXtdvnxZ8+bNU9myZc3rvLy8dOfOHUVERFi0ert+/bpy5swpScqVK5euX79utU0PDw9lyZLFMTsBAAAAAACAdC/VJ2tIyt27d/Xxxx/r1q1bCg4OtgjhJKl06dKKiYkxT9ogSWfPntW1a9fMZcuUKaP9+/dbvG7v3r0qVaqUnJzS9O4DAAAAAADgBZKmk6gxY8bo4sWLmjBhgjw9PfXvv/+a/0VHRytnzpyqW7euBg8erH379unw4cPq1auXypUrp5IlS0qSWrZsqcOHD2vixIk6c+aM5s+fry1btqhdu3apu3MAAAAAAABIV9Js19To6Ght2rRJkZGR+vjjj63W79ixQ6+//rpGjhypgIAAdenSRZJUtWpVDR482Fzurbfe0owZMzRhwgQtWrRIr7/+uiZMmCB/f3+H7QsAAAAAAABgMgzDSO1KPI+io2N069aD1K4G8EIzmUzKkSOzRszZrfsPI5Mtn8XDVUPaV9SNG6Hi1AYAAAAAcARPz0xydrav02ma7poKAAAAAAAAvCgI4gAAAAAAAAAHIIgDAAAAAAAAHIAgDgAAAAAAAHAAgjgAAAAAAADAAQjiAAAAAAAAAAcgiAMAAAAAAAAcgCAOAAAAAAAAcACCOAAAAAAAAMABCOIAAAAAAAAAByCIAwAAAAAAAByAIA4AAAAAAABwAII4AAAAAAAAwAEI4gAAAAAAAAAHIIgDAAAAAAAAHIAgDgAAAAAAAHAAgjgAAAAAAADAAQjiAAAAAAAAAAcgiAMAAAAAAAAcgCAOAAAAAAAAcACCOAAAAAAAAMABCOIAAAAAAAAAByCIAwAAAAAAAByAIA4AAAAAAABwAII4AAAAAAAAwAEI4gAAAAAAAAAHIIgDAAAAAAAAHIAgDgAAAAAAAHAAgjgAAAAAAADAAQjiAAAAAAAAAAcgiAMAAAAAAAAcgCAOAAAAAAAAcACCOAAAAAAAAMABCOIAAAAAAAAAByCIAwAAAAAAABwgTQVxQUFBatmypcWy48ePq0WLFipZsqSqV6+ur7/+2mJ9TEyMvvrqK1WpUkUlS5ZU+/btdfHixRRtAwAAAAAAAHjW0kwQFxwcrKlTp1osu337tlq3bq28efNq1apV6ty5syZOnKhVq1aZy8yYMUNLly7VyJEjtXz5csXExKhdu3aKiIiwexsAAAAAAADAs+aS2hW4du2ahg4dqn379il//vwW67755hu5urpqxIgRcnFxUcGCBXX+/HnNnj1bjRs3VkREhObPn68+ffqoWrVqkqQpU6aoSpUq2rZtm+rVq5fsNgAAAAAAAABHSPUWcX/++adcXV21fv16+fr6WqwLCQlRuXLl5OLyf3lhhQoVdO7cOd24cUMnTpzQgwcP5O/vb16fNWtWFS1aVAcOHLBrGwAAAAAAAIAjpHqLuOrVq6t69eo21129elWFChWyWPbqq69Kkv755x9dvXpVkpQrVy6rMnHrkttGjhw5nnwnAAAAAAAAgGSkeou4pDx69Ehubm4WyzJkyCBJCg8PV1hYmCTZLBMeHm7XNgAAAAAAAABHSNNBnLu7u3nShThx4ZmHh4fc3d0lyWaZjBkz2rUNAAAAAAAAwBHSdBDn5eWl69evWyyL+zlnzpzmLqm2yuTMmdOubQAAAAAAAACOkKaDuLJly+rgwYOKjo42L9u7d68KFCig7Nmzy9vbW5kzZ9a+ffvM6+/du6djx46pbNmydm0DAAAAAAAAcIQ0HcQ1btxYoaGhGjRokE6fPq3Vq1dr4cKF6tChg6TYseFatGihiRMnaseOHTpx4oR69uwpLy8v1apVy65tAAAAAAAAAI6Q6rOmJiV79uyaO3euRo8erUaNGumVV15Rv3791KhRI3OZbt26KSoqSoMHD9ajR49UtmxZzZs3T66urnZvAwAAAAAAAHjWTIZhGKldiedRdHSMbt16kNrVAF5oJpNJOXJk1og5u3X/YWSy5bN4uGpI+4q6cSNUnNoAAAAAAI7g6ZlJzs72dTpN011TAQAAAAAAgBcFQRwAAAAAAADgAARxAAAAAAAAgAMQxAEAAAAAAAAOQBAHAAAAAAAAOABBHAAAAAAAAOAABHEAAAAAAACAAxDEAQAAAAAAAA5AEAcAAAAAAAA4AEEcAAAAAAAA4AAEcQAAAAAAAIADEMQBAAAAAAAADkAQBwAAAAAAADgAQRwAAAAAAADgAARxAAAAAAAAgAMQxAEAAAAAAAAOQBAHAAAAAAAAOABBHAAAAAAAAOAABHEAAAAAAACAAxDEAQAAAAAAAA7wTIK4q1evPovNAgAAAAAAAM+txwriihQposOHD9tcFxISovfee++JKgUAAAAAAAC8aFzsLTh//nw9fPhQkmQYhlauXKlffvnFqtxvv/0mNze3p1dDAAAAAAAA4AVgdxAXHh6uadOmSZJMJpNWrlxpVcbJyUlZsmTRZ5999vRqCAAAAAAAALwA7A7iPvvsM3PA5u3trW+++UY+Pj7PrGIAEmcySZLJztKGDOMZVgYAAAAAANjF7iAuvhMnTjztegCwk8kkZXvJQ64uznaVj4yK1t07DwnjAAAAAABIZY8VxEnSrl279OOPPyosLEwxMTEW60wmkwICAp64cgBsMcnVxVmTg0MU+jAiyZKZPdzUq3kZxbaeI4kDAAAAACA1PVYQN3/+fI0fP14ZMmSQp6enTCbLLnIJfwbw9IU+jND9h5GpXQ0AAAAAAGCnxwrilixZovr162v06NHMkAoAAAAAAADYwelxXnTjxg198MEHhHAAAAAAAACAnR4riCtatKhOnTr1tOsCAAAAAAAAvLAeq2vqwIED1aNHD3l4eMjX11cZM2a0KvPaa689ceUAAAAAAACAF8VjBXFNmzZVTEyMBg4cmOjEDMePH3+iigEAAAAAAAAvkscK4kaOHMnMqAAAAAAAAEAKPFYQ9/777z/tegAAAAAAAAAvtMcK4g4cOJBsmbJlyz7OpgEAAAAAAIAX0mMFcS1btpTJZJJhGOZlCbuqPs0x4qKiojR9+nStXbtWd+7cUdGiRdW3b1+VLFnS/F6jR4/W0aNH5enpqU8++UStWrUyvz4mJkbTpk3TypUrdf/+fZUtW1ZDhgxRnjx5nlodAQAAAAAAgKQ8VhD39ddfWy17+PChQkJCtG7dOgUGBj5xxeKbOXOmVq5cqbFjxypPnjyaM2eO2rVrp02bNsnV1VWtW7dW9erVNXz4cP3+++8aPny4MmXKpMaNG0uSZsyYoaVLl2rs2LHy8vLShAkT1K5dO23YsEFubm5Pta4AAAAAAACALY8VxJUrV87m8mrVqsnDw0MzZ85UUFDQE1Usvu3bt6tevXqqXLmyJGnAgAFauXKlfv/9d509e1aurq4aMWKEXFxcVLBgQZ0/f16zZ89W48aNFRERofnz56tPnz6qVq2aJGnKlCmqUqWKtm3bpnr16j21egIAAAAAAACJcXraGyxTpoz279//VLeZPXt2/fjjj7p06ZKio6O1YsUKubm5ydvbWyEhISpXrpxcXP4vU6xQoYLOnTunGzdu6MSJE3rw4IH8/f3N67NmzaqiRYvaNdYdAAAAAAAA8DQ8Vou4pPzwww/KlCnTU93moEGD1L17d9WoUUPOzs5ycnJSYGCg8ubNq6tXr6pQoUIW5V999VVJ0j///KOrV69KknLlymVVJm4dAAAAAAAA8Kw9VhAXfyKEODExMbp69aouX76s9u3bP3HF4jt9+rSyZMmi6dOnK2fOnFq5cqX69OmjJUuW6NGjR1bjvGXIkEGSFB4errCwMEmyWebu3btPtZ4AAAAAAABAYh4riIs/W2ocJycnFSpUSB06dDBPkvA0/PPPP+rdu7cWLlyoMmXKSJJKlCih06dPKzAwUO7u7oqIiLB4TXh4uCTJw8ND7u7ukqSIiAjz/+PKZMyY8anVEwAAAAAAAEjKYwVxixcvftr1SNQff/yhyMhIlShRwmK5r6+vfvnlF7322mu6fv26xbq4n3PmzKmoqCjzsrx581qUKVy48DOuPQAAAAAAABDricaI++WXX7R//37du3dPnp6eKl26tKpUqfK06iZJ8vLykiT99ddf8vHxMS8/efKk8ufPL19fXy1fvlzR0dFydnaWJO3du1cFChRQ9uzZlSVLFmXOnFn79u0zB3H37t3TsWPH1KJFi6daVwAAAAAAACAxjxXERUREqFOnTvr111/l7Oysl19+Wbdv31ZQUJAqVKigoKAgqzHZHpePj49Kly6t/v37a+jQofLy8tLatWu1Z88eLVu2TK+//rrmzp2rQYMGqV27djp8+LAWLlyo4cOHS4odG65FixaaOHGiPD09lTt3bk2YMEFeXl6qVavWU6kjAAAAAAAAkJzHCuICAwN18OBBjR8/XnXr1pWzs7OioqK0ceNGDR8+XDNnzlT37t2fSgWdnJw0c+ZMTZ06VZ9//rnu3r2rQoUKaeHChfL19ZUkzZ07V6NHj1ajRo30yiuvqF+/fmrUqJF5G926dVNUVJQGDx6sR48eqWzZspo3b55cXV2fSh0BAAAAAACA5JgMWzMvJOOdd95RixYt1LZtW6t18+bN07Jly7R9+/anUsG0Kjo6RrduPUjtaiAdMplMypEjs0bM2a37DyOTLJvFw1VD2lfUjRuhNidZSetSsq/S87+/AAAAAIDnj6dnJjk7O9lV1r5SCdy6dUtFixa1ua5o0aK6du3a42wWAAAAAAAAeGE9VhCXN29eHTx40Oa6AwcOKFeuXE9UKQAAAAAAAOBF81hjxH300UcaO3as3N3dVbduXeXIkUM3btzQxo0bNWfOHHXp0uVp1xMAAAAAAAB4rj1WENe0aVMdO3ZMEydO1KRJk8zLDcNQo0aN9Omnnz61CgIAAAAAAAAvgscK4iIiIjR69Gi1adNG+/fv1927d2UymVSzZk0VLFjwadcRAAAAAAAAeO6laIy4v/76S40bN9aCBQskSQULFlTTpk3VrFkzffnll+rVq5fOnj37TCoKAAAAAAAAPM/sDuIuXbqkVq1a6caNGypQoIDFOldXV/Xr10937txRs2bNmDUVAAAAAAAASMDuIG727Nl66aWXtGbNGtWuXdtiXcaMGfXJJ5/o22+/VYYMGRQUFPTUKwoAAAAAAAA8z+wO4vbs2aN27drJ09Mz0TKvvPKK2rRpo127dj2VygEAAAAAAAAvCruDuOvXryt//vzJlitUqJCuXr36JHUCAAAAAAAAXjh2B3Genp66fv16suVu376tbNmyPVGlAAAAAAAAgBeN3UFc2bJltXr16mTLrV27VkWLFn2iSgEAAAAAAAAvGruDuJYtW2rfvn0aO3aswsPDrdZHRERo/Pjx+uWXX9S8efOnWkkAAAAAAADgeedib8ESJUro888/V0BAgNatWyd/f3+9/vrrio6O1pUrV7Rv3z7dvn1b3bt3V5UqVZ5lnQEAAAAAAIDnjt1BnCQ1b95c3t7emjdvnnbs2GFuGZcpUyZVrlxZbdq0ka+v7zOpKIDHZzKZUlDakGE8s6oAAAAAAJBupSiIk6TSpUurdOnSkqRbt27JxcVFWbNmfeoVA/Dk3FydFR0do+zZM9n9msioaN2985AwDgAAAACApyzFQVx8np6eT6seQLoW22DNvlZrKWnd5uriJGdnJ00ODlHow4hky2f2cFOv5mX+f11I4gAAAAAAeJqeKIgD8ORMJinbSx5ydXF+Zu8R+jBC9x9GPrPtAwAAAACA5BHEAanOJFcXZ7tbrb3q6aGOjUs++2oBAAAAAICniiAOSCPsbbWWKSMt2wAAAAAAeB45pXYFAAAAAAAAgPSAIA4AAAAAAABwALqm4oWQkllHYxkymBQUAAAAAAA4EEEcnnuPM+toZFS07t55SBgHAAAAAAAchiAOL4CUzTqa2cNNvZqXUWwLOpI4AAAAAADgGARxeGHYO+soAAAAAABAamCyBgAAAAAAAMABCOIAAAAAAAAAByCIAwAAAAAAAByAIA4AAAAAAABwAII4AAAAAAAAwAEI4gAAAAAAAAAHIIgDAAAAAAAAHIAgDgAAAAAAAHAAgjgAAAAAAADAAQjiAAAAAAAAAAd4boK4tWvXqk6dOipRooTq1q2rzZs3m9ddunRJHTp0UKlSpVS5cmVNnTpV0dHRFq8PDg5WjRo15OPjo2bNmunYsWOO3gUAAAAAAACkY89FELdu3ToNGjRIzZs313fffad69eqpV69e+u233xQZGam2bdtKkpYvX65hw4Zp2bJlmj59uvn1a9as0fjx49W9e3etXr1ar7/+ulq3bq1bt26l1i4BAAAAAAAgnXFJ7QokxzAMffnll2rVqpWaN28uSfrss88UEhKi/fv36/Lly7py5Yq++eYbZcuWTYUKFdLNmzc1fvx4dezYUW5ubpo1a5ZatGih//73v5KkgIAA1axZUytXrlSHDh1Sc/cAAAAAAACQTqT5FnFnz57V5cuXVb9+fYvl8+bNU4cOHRQSEqJixYopW7Zs5nUVKlRQaGiojh8/rps3b+rcuXPy9/c3r3dxcVGZMmV04MABh+0HAAAAAAAA0rfnIoiTpIcPH6pt27by9/dXkyZN9MMPP0iSrl69Ki8vL4vXvPrqq5Kkf/75R1evXpUk5cqVy6pM3DoAAAAAAADgWUvzQVxoaKgkqX///qpXr57mz5+vSpUqqVOnTtqzZ48ePXokNzc3i9dkyJBBkhQeHq6wsDBJslkmPDzcAXsAAAAAAAAAPAdjxLm6ukqS2rZtq0aNGkmSihQpomPHjmnBggVyd3dXRESExWviAjYPDw+5u7tLks0yGTNmfNbVBwAAAAAAACQ9By3icubMKUkqVKiQxfI333xTly5dkpeXl65fv26xLu7nnDlzmruk2ioTt20AAAAAAADgWUvzQVyxYsWUKVMm/fHHHxbLT548qbx586ps2bI6duyYuQurJO3du1eZMmWSt7e3smfPrgIFCmjfvn3m9VFRUQoJCVHZsmUdth8AAAAAAABI39J8EOfu7q527dpp+vTp2rhxoy5cuKCZM2dq165dat26tWrWrKlXXnlFPXr00IkTJ7R9+3ZNnjxZbdq0MY8L16ZNGy1YsEBr1qzR6dOnNXDgQD169EgffPBBKu8dAAAAAAAA0os0P0acJHXq1EkZM2bUlClTdO3aNRUsWFCBgYEqX768JGnu3LkaPny4PvzwQ2XLlk3NmjVTp06dzK//8MMPdf/+fU2dOlV37txR8eLFtWDBAnl6eqbWLgEAAAAAACCdeS6COElq3bq1WrdubXNdvnz5NH/+/CRf37ZtW7Vt2/ZZVA0AAAAAAABIVprvmgoAAAAAAAC8CAjiAAAAAAAAAAcgiAMAAAAAAAAcgCAOAAAAAAAAcACCOAAAAAAAAMABCOIAAAAAAAAAByCIAwAAAAAAAByAIA4AAAAAAABwAII4AAAAAAAAwAEI4gAAAAAAAAAHIIgDAAAAAAAAHIAgDgAAAAAAAHAAgjgAAAAAAADAAQjiAAAAAAAAAAcgiAMAAAAAAAAcgCAOAAAAAAAAcACCOAAAAAAAAMABCOIAAAAAAAAAByCIAwAAAAAAAByAIA4AAAAAAABwAII4AAAAAAAAwAEI4gAAAAAAAAAHIIgDAAAAAAAAHIAgDgAAAAAAAHAAgjgAAAAAAADAAQjiAAAAAAAAAAcgiAMAAAAAAAAcgCAOAAAAAAAAcACCOAAAAAAAAMABCOIAAAAAAAAAByCIAwAAAAAAAByAIA4AAAAAAABwAII4AAAAAAAAwAEI4gAAAAAAAAAHIIgDAAAAAAAAHIAgDgAAAAAAAHCA5yqIO3v2rPz8/LR69WrzsuPHj6tFixYqWbKkqlevrq+//triNTExMfrqq69UpUoVlSxZUu3bt9fFixcdXXUAAAAAAACkc89NEBcZGak+ffro4cOH5mW3b99W69atlTdvXq1atUqdO3fWxIkTtWrVKnOZGTNmaOnSpRo5cqSWL1+umJgYtWvXThEREamxGwAAAAAAAEinnpsgLjAwUJkzZ7ZY9s0338jV1VUjRoxQwYIF1bhxY33yySeaPXu2JCkiIkLz589Xt27dVK1aNXl7e2vKlCm6evWqtm3blhq7AbxwTCbJZDKl4F9q1xgAAAAAgNThktoVsMeBAwe0YsUKrV27VtWqVTMvDwkJUbly5eTi8n+7UaFCBQUFBenGjRu6cuWKHjx4IH9/f/P6rFmzqmjRojpw4IDq1avnyN0AXjgmk5TtJQ+5ujjb/ZrIqGjdvfNQhvEs65WStM94pnUBAAAAACBOmg/i7t27p379+mnw4MHKlSuXxbqrV6+qUKFCFsteffVVSdI///yjq1evSpLV61599VXzOgBPwiRXF2dNDg5R6MPku3tn9nBTr+ZlJJkkPf30y83VWdHRMcqePZPdr3FEMAgAAAAAgPQcBHHDhg2Tn5+f6tevb7Xu0aNHcnNzs1iWIUMGSVJ4eLjCwsIkyWaZu3fvPqMaA+lP6MMI3X8YmdrVkKuLk5ydndJMMAgAAAAAQHxpOohbu3atQkJCtGHDBpvr3d3drSZdCA8PlyR5eHjI3d1dUuxYcXH/jyuTMWPGZ1RrAKktrQSDAAAAAADEl6aDuFWrVunmzZsW48JJ0tChQ7Vp0yZ5eXnp+vXrFuvifs6ZM6eioqLMy/LmzWtRpnDhws+28gAAAAAAAEA8aTqImzhxoh49emSxrFatWurWrZv++9//at26dVq+fLmio6Pl7Bw7WPzevXtVoEABZc+eXVmyZFHmzJm1b98+cxB37949HTt2TC1atHD4/gAAAAAAACD9StNBXM6cOW0uz549u3LmzKnGjRtr7ty5GjRokNq1a6fDhw9r4cKFGj58uKTYseFatGihiRMnytPTU7lz59aECRPk5eWlWrVqOXJXAAAAAAAAkM6l6SAuOdmzZ9fcuXM1evRoNWrUSK+88or69eunRo0amct069ZNUVFRGjx4sB49eqSyZctq3rx5cnV1TcWaAwAAAAAAIL157oK4v/76y+JnHx8frVixItHyzs7O6tu3r/r27fusqwYAAAAAAAAk6rkL4vB8MpkkyZSCVxgyjGdUGQAAAAAAgFRAEIdnzmSSsr3kIVcXZ7tfExkVrbt3HhLGAQAAAACAFwZBHBzAJFcXZ00ODlHow4hkS2f2cFOv5mUU24KOJA4AAAAAALwYCOLgMKEPI3T/YWRqVwMAAAAAACBVOKV2BQAAAAAAAID0gCAOAAAAAAAAcACCOAAAAAAAAMABCOIAAAAAAAAAByCIAwAAAAAAAByAIA4AAAAAAABwAII4AAAAAAAAwAEI4gAAAAAAAAAHIIgDAAAAAAAAHIAgDgAAAAAAAHAAgjgAAAAAAADAAQjiAAAAAAAAAAcgiAMAAAAAAAAcgCAOAAAAAAAAcACCOAAAAAAAAMABCOIAAAAAAAAAByCIAwAAAAAAAByAIA4AAAAAAABwAII4AAAAAAAAwAEI4gAAAAAAAAAHcEntCgDAi8pkkiRTCl5hyDCeUWUAAAAAAKmOIA4AngGTScr2kodcXZztfk1kVLTu3nlIGAcAAAAALyiCOAB4JkxydXHW5OAQhT6MSLZ0Zg839WpeRrEt6EjinhStEQEAAACkRQRxAPAMhT6M0P2HkaldjXSF1ogAAAAA0iqCOMAOtK4Bnie0RgQAAACQNhHEAcmgdQ3wfKI1IgAAAIC0hiAO6ZbJZF8LN5OJ1jUAAAAAAODJEcQh3XFzdVZ0dIyyZ8+UotfRugYAAAAAADwJgjikO64uTnJ2drK7hdurnh7q2Ljks68YAAAAAAB4oRHEId2yt4Vbpoy0ggMAAAAAAE/OKbUrAAAAAAAAAKQHBHEAAAAAAACAAzwXQdydO3c0ZMgQVa1aVaVKlVLTpk0VEhJiXr9nzx69//778vX1Ve3atfXdd99ZvD48PFzDhw+Xv7+//Pz81Lt3b926dcvRuwEAAAAAAIB07LkI4nr16qXffvtNkydP1qpVq1SkSBG1bdtWf//9t86cOaMOHTqoSpUqWr16tZo0aaJ+/fppz5495tcPGzZMv/76qwIDA7Vo0SL9/fff6tatWyruEQAAeBwmk2QymVLwL7VrDAAAAPyfND9Zw/nz57Vr1y4tXbpUpUuXliR98cUX2rlzpzZs2KCbN2+qcOHC6tmzpySpYMGCOnbsmObOnSt/f39du3ZNa9eu1axZs1SmTBlJ0uTJk1W7dm399ttv8vPzS7V9AwAA9jOZpGwvecjVxdnu10RGRevunYcyjGdYMQAAAMBOaT6Ie/nllzV79myVKFHCvCzuKfe9e/cUEhKimjVrWrymQoUKGj16tAzD0MGDB83L4hQoUEA5c+bUgQMHCOIAACkW28oqJU2tDIKgp8IkVxdnTQ4OUejDiGRLZ/ZwU6/mZRT7WfEBAAAAIPWl+SAua9asevvtty2Wbd26VefPn9fAgQO1Zs0aeXl5Wax/9dVXFRYWptu3b+vatWt6+eWXlSFDBqsyV69efeb1B2DNZGdfMXvLAY5Eq6zUF/owQvcfRqZ2NQAAAIAUS/NBXEKHDh3S559/rlq1aqlatWp69OiR3NzcLMrE/RwREaGwsDCr9ZKUIUMGhYeHO6TOAGK5uTorOjpG2bNnSu2qAE+AVllPU0paFxLOAwAA4Hn3XAVx27dvV58+fVSqVClNnDhRUmygFhFheSMU93PGjBnl7u5utV6KnUk1Y8aMz77SAMxcXZzk7Oxkd4DxqqeHOjYu+ewrBjwGWmU9ucdpXQgAAAA8z56bIG7JkiUaPXq0ateurXHjxplbueXKlUvXr1+3KHv9+nV5eHgoS5Ys8vLy0p07dxQREWHRMu769evKmTOnQ/cBQCx7A4xMGQk5gBdbyloXEs4DAADgefdcBHFLly7VyJEj1bJlSw0aNMiia0qZMmW0f/9+i/J79+5VqVKl5OTkpNKlSysmJkYHDx6Uv7+/JOns2bO6du2aypYt69D9SOsYfByAI3HOQRzCeQAAAKQXaT6IO3v2rAICAvTuu++qQ4cOunHjhnmdu7u7WrZsqUaNGmnixIlq1KiRfv75Z23ZskVz586VJOXMmVN169bV4MGDFRAQoIwZM2ro0KEqV66cSpYsmUp7lfYw+DjiYzIFPI6UjfUlZc2WkXMOAAAAgHQlzQdxW7duVWRkpL7//nt9//33FusaNWqksWPHasaMGZowYYIWLVqk119/XRMmTDC3fpOkkSNHKiAgQF26dJEkVa1aVYMHD3bofqR9DD4OJlPA43vcsb445wAAAABIT9J8ENexY0d17NgxyTJVq1ZV1apVE13v4eGhUaNGadSoUU+7ei8cBh9P35hMAY/v8cb64pwDAAAAID1J80EcAMdjvCY8Lo4dAAAAAEicU2pXAAAAAAAAAEgPCOIAAAAAAAAAB6BrKgA8p1IyS2ksgxlHAQAAACAVEcQBwHPocWYpjYyK1t07DwnjAAAAACCVEMQBwHMpZbOUZvZwU6/mZRTbgo4kDgAAAABSA0EcADzH7J2lFAAAAACQ+pisAQAAAAAAAHAAgjgAAAAAAADAAQjiAAAAAAAAAAcgiAMAAAAAAAAcgCAOAAAAAAAAcABmTQWQ7plMphSUNmQYz6wqSIY9n1XKPk8AAAAAcByCOADplpurs6KjY5Q9eya7XxMZFa27dx4SxjnY43xWAAAAAJDWEMQBSLdcXZzk7OykycEhCn0YkWz5zB5u6tW8jCSTJJI4R0rJZ/Wqp4c6Ni7pmIoBAAAAQAoQxAFI90IfRuj+w8jUrgbsYM9nlSkjnyUAAACAtIkgDgBgU+xQa/aNt8a4bMCLLyXnhFiMqQkAAJAQQRwAwIrJJGV7yUOuLs6pXRXgiTEhy5N7nHMCY2oCAABYI4gDANhgkquLs93j5zEuG9IiJmR5mlJ2TmBMTQAAANsI4gAAibJ3/DzGZUNaxIQsTx9jagIAADwZgjgAAPBCIzwCUhfjCwIA8H8I4gAAAAA8E4wvCACAJYI4AAAAvPBolZVaGF8QAID4COIAIIXsmYExZbM0Ak+GgAFIGq2yUh9dxAEAiEUQBwB2epwZGIFnjYABsAetsgAAQNpAEAcAdkrJDIyvenqoY+OSjqkY0jkCBsBetMoCAACpjSAOT4QuekiP7LmRy5SRGz04FgEDAAAAkPYRxOGx0EUPeD7ZG4wToCM9S8nxbzIZMgzG5wMAAIB9COLwWOiilzwCD6QlhOdA8h7n7yQqOkYuzk52l2d8PjwOJmQBAODFQRCHJ0IXPWsEHkiLUhKeS+k3QEf69rh/J4zPh2eJCVkAAHixEMQBTxmBB9Iye8cRS28BOhBfSv9OnuX4fClrCUUrqBcTE7IAAPAiIYgDnhECD+D5QndypDUpbQlFK6gXGxOyAADwYiCIAwCka47qTp6yAI+WTZBS0hKKVlAAAADPB4I4AEC69qy7kz9O0BcZFa17d8PsCuNooff8SWnrS1pCAQAAvDgI4gAA0LPrTp7SoM8zq7s++6CksmfPnKL3QdrHZD4AAAAgiAMAwAHsD/pcmfDlBcVkPklL2cQUEl24AQDA8yjdBHExMTGaNm2aVq5cqfv376ts2bIaMmSI8uTJk9pVAwDAChO+vLj4bK2ldGIKiS7cAADg+ZRugrgZM2Zo6dKlGjt2rLy8vDRhwgS1a9dOGzZskJubW2pXDzYwgyEAAOmF/RNTSHThTm0pab3IdRoAAJbSRRAXERGh+fPnq0+fPqpWrZokacqUKapSpYq2bdumevXqpW4FYYExdAAAeDzP++y86aULtyOCrJS8zmQyZBj21kfKmi1jilovPg7765/2juNnKS114U5LdQGA50m6COJOnDihBw8eyN/f37wsa9asKlq0qA4cOEAQl8Ywhg7SM1qCAngcjzs77907D5/pjfGzPqc9j918H6cbbko8zrEQFR0jF2enFL1PWplpOqXHcUrDo5SElLFSFjalLJRNeQiaki7cse9h3/4+bl2e5TknrX22z1J62tf0hoA7fTAZxov/sW3btk1du3bVH3/8IXd3d/Py7t2769GjRwoKCkrxNg3DUEzMi/Wrc3Z20p374bLnkHB2Nilrpgx2lU9JWcrzu39Ryqd0205OJmXN5Jbim9G0sK9prXxaqktaLG8ymfRSlgyKjo5JtqwjPKvvnvRWPq7svQfhMuz4aE1OUtZMKTsOUvJZPe/ntGf9d+Ls7GT3Z+XkbFIWD7cU72tKt/+s6/Ms6v84x7GTkylFx6VhGCkun5J7hJTWR5L9n5WTSZk9XJ/p/j7Lc05KpbXP9llKT/ua3jzOZ8tnlTak5LNLF0HcunXr1K9fPx0/flxOTv/3tK9fv366fv26Fi5cmHqVAwAAAAAAQLqQsjboz6m4VnAREZbN58PDw5UxY8bUqBIAAAAAAADSmXQRxOXKlUuSdP36dYvl169fV86cOVOjSgAAAAAAAEhn0kUQ5+3trcyZM2vfvn3mZffu3dOxY8dUtmzZVKwZAAAAAAAA0ot0MWuqm5ubWrRooYkTJ8rT01O5c+fWhAkT5OXlpVq1aqV29QAAAAAAAJAOpIsgTpK6deumqKgoDR48WI8ePVLZsmU1b948ubq6pnbVAAAAAAAAkA6ki1lTAQAAAAAAgNSWLsaIAwAAAAAAAFIbQRwAAAAAAADgAARxAAAAAAAAgAMQxAEAAAAAAAAOQBAHAAAAAAAAOABBHAAAAAAAAOAABHEAAAAAAACAAxDE4akIDQ3V4cOHdfz4cYWGhqZKHR48eJAq7wsAABASEqLIyMjUrgYAPPfCw8NTuwrAM2UyDMNI7Urg+RUTE6Nx48Zp6dKlioqKkmEYcnNz0//+9z8NHDhQ06dPV9u2bZUxY0ZNmzYtyW116dLliery7rvvaurUqSpWrNgTbQcA7HXlyhXlypVLJpPJYnlUVJSOHTsmHx8f87KQkBD5+vrK1dX1mdbJMAzduXNHL7/8siTp8OHDKlasmJydnZ/p+6Zlo0aNUqtWrZQ3b97UrspjCQkJ0aFDhxQZGamEl21P+t0JS8ldq8SX8Hfv7++vuXPnch2SSpYuXar69esrS5YsDn3fe/fuKWvWrE+8nQMHDsjPz08uLi4Wy8PDw/XTTz/pP//5zxO/hz1u3bql8ePH6+jRo3r06JHVOWfHjh1Wr7lw4cJze36FFBERoSNHjqh06dIOfd/bt29r1qxZOnnypKKjoyXFXsNERkbq9OnTCgkJcWh9nmeff/65zeUmk0murq7y8vJS7dq1VaBAAUmxDVgyZcrkyCoiAZfkiwCJCwoK0qpVq9S3b1+VK1dOMTExOnDggKZPn66cOXNq9erVat68uTJmzKjVq1cnuh2TyWR1QRsWFiZ3d3eLG9wzZ84od+7ccnd3t9pGWFiYMmbM+PR2LoGYmBht2LAh0ZuhMWPGWL3mn3/+UXBwsE6ePCkXFxe99dZb+vDDD5U7d26rsuHh4VqxYoXFl5EU++V49OhRbd261VwPJ6cXpzFrRESELl26pLx588owjGceUqQlt27dkqenp0Pf097j7EVz7tw5nTx5Uk5OTipWrJhy5cr1VLZbo0YN7dq1y+pzvHTpklq2bKk//vjDvKxr167P/Cb9woULat++vWrUqKF+/fpJkj799FPlyJFDc+bMeaL9TulFXlqyZs0affLJJ6ldjccyffp0BQYGKmvWrMqcObPFOlvfnc9Kq1atNG3aNGXNmlWtWrVKsuzXX3/9xO935coV8z7v3btX27ZtU6lSpVSvXr0Ubefff//VK6+8orCwMC1evFgffPCBxd/rtGnT5Obmpo8//lgZMmRI8lolPlu/e09PT92/fz/Z1x44cMDu+pctW9bi52nTppkfcMYXGhqqL7/8UoMGDbJ727ZcuXIlyfWvvfbaE23fnvrfuHFDgYGB6tSpk3LmzGkuM2zYMMXExKhHjx42vzuDgoI0btw4Va9eXY0bN1alSpWsHpKkxJAhQzRixIgky4SEhKhv37768ccfH/t94rRq1crm98np06fVt29fqyAuKipKN2/etAgw4gKV//73v49djy+++EK///676tSpo2zZstn1mubNm2v69OkWD59eVD169FDjxo1VuXLlJzq+niZ7HzYdPXpUX3zxhU6ePKmYmBir9cePH39WVbRp+PDh2rNnjypVqqQtW7aobt26OnPmjI4dO6ZevXo5tC6S5fdcfDdv3lTbtm21du1ah9Zn48aNqlKlil1/h5GRkfruu++UI0cO89/hn3/+qWvXrsnX11f79u3TrFmzNH/+fJUuXVoNGzakAUsqI4hDoq5cuaIzZ86obNmyevDggbJnz25VZuXKlRo6dKjq169vXla0aFF5enoqMDBQP/zwg3l5/P8nZ+PGjRo9erTmzJmj4sWLm5cHBATo6NGjGjVqlN59912L17Rq1UpdunRR8+bNlTdvXquwLuHFbEoFBAQoODhY3t7eVjdDtvz1119q0aKF3N3d5ePjo5iYGK1evVrBwcFatmyZ3nrrLYvyo0aN0tq1a1W0aFEdOXJEfn5+On/+vG7evGlxA1m+fHlVqFBBFStWVOXKlZUnTx679+Hff//V1KlTEw0Td+zYoc8//1yDBg1S5syZE73xjmMrfDxw4IDOnDmjevXq6erVq8qfP7/V010p9oJx0qRJWrx4sSIjI7V161ZNmTJFGTNm1LBhw6wCuenTp+vDDz/UK6+8YrH87t276tq1q77++usU39w8bsuHM2fOqGDBgpKk2bNnKyIiwrzOx8dHVatWtXr9vXv3NGHCBLVo0UJvvvmm2rVrp7179yp//vyaPXu28uTJY/eN4pOw9ziL72mGd1evXpWXl5fFMnsuamvUqKFvv/1WL7/8sqpXr57kxW/8p/WhoaHq1auXdu7caT7eTSaT6tSpozFjxsjNzc3q9WFhYTp58qTNv5GyZcsqODhY8+fPlxR7HDdu3NgqHL93757VDau9N+m23Lp1S+Hh4Vb1SfgeAQEBypcvn1q3bm1etmnTJvXv319jxozRV199ZVE+JTfdKb3Ii5PUA4nH/VyTk/A4e/vtt7VkyRJ17do1RU+AL1++rD/++MPibzxOw4YNLUIFe1t937p1S/Pnz1f37t3l6uqq+vXr6+HDh+ZyFStW1MiRI80/L1u2TD179lSHDh2SrW9yAVl8tsKyM2fO6OTJk3J1ddUbb7yhN954w7wud+7c5uP8tddee6Y3oN9//7169uypoKAg5cmTR+3atVOePHm0evVq3b17V82bN7coX6RIkUQD8fr162vnzp365JNPdOLECZUpU8aiXGhoqJYtW6Yff/xR8+bNS9G1SkJVq1ZVhw4d9PbbbytfvnxW5+u4Y6Bly5YymUxWf88JmUwmHT9+XGfOnNGtW7ckxX4Xent7W92YnTx5Ut98840GDRqktWvXqk6dOnJzc0v2xrFhw4YWPyf3dxj/Rv3vv//WiBEjzNcUiZVNSf07dOigpk2b6v79+2rSpIlFEJc7d24tWrRI+/fv19KlS60+759++km7du3S2rVr1aVLF2XLlk0NGjRQo0aNbD4gSK7l19WrV5UhQwab4aZhGJo+fbpmzpyZ6AMOe373Cxcu1Lhx48zbrFSpks2yCQOuX3/9Vf379zf/XuNzd3dPNIizJ+DevXu3Zs+enaLrZldXV5vXevHVqFFDtWrVUp8+fRJtoX3jxg1VqVLliQOhx3l4bi8nJyfz8dWwYcNEj684oaGh8vDwMJ8/T506pV9//VXZs2dX7dq1bV6HxLH3mtreh01jxoyRs7OzBg8erDFjxmjAgAG6cOGCgoODNX78+OR3XrF/N/v371exYsXM9yCPe87Zs2ePxo0bp2rVqumvv/5S27Zt5e3trS+++EKnT582l0vpd21KArOXX35ZR44ckRT7+541a5Y8PDwsypw/f16XL1+2em2TJk3UuHFj1a1b1+6WuClp4T5ixAgtXbrUriDO3d1dtWrV0oQJE8zHVGRkpAYOHKgsWbJoyJAhmjhxoqZOnarFixfb3YAluevE+F577bUnvg5JT+iaCisRERHq37+/Nm/eLCcnJ23dulXjxo3TgwcPFBgYaBFC+fr6asOGDVZPYC5cuKC6deuaT2wpsW/fPrVu3VoNGzZUz549LYKXM2fOaO7cuVq/fr0WL16sUqVKmdd5e3snus24i1kp9oI97gvQ29vb7gvO8uXLa8CAAWrUqJFd+xH3hTFp0iTzxXh4eLj69OmjiIgIBQUFWZSvWLGiBg4cqHr16undd98134D07NlTXl5eGjx4sCRp5syZCgkJ0e+//66HDx8qd+7cqlSpkipVqiR/f/8kvwg6duyoo0ePJvqF0aVLF7Vs2VLTp09X1qxZ1bJlyyT3cfHixeb/h4aGql27dvr9999lMpm0bds2jR49WhcvXtT8+fMtLqal2JPvnDlz1LNnT40YMUIbNmzQkSNHNHz4cH300Ufq2bOnRXlvb295eXlp1qxZFp91/Iu2uM/TMAyLzzV+ABPn+PHjql69epL7F8dkMplDgCFDhmjlypXasmWL8uXLJz8/P2XNmlXOzs56+PChoqKitGXLFuXIkcNiG59//rlCQkI0a9YsnTp1Sn379lVAQIA2bdokFxcXjRkzxnyj+PXXX1sc22PHjtWyZctUtGhRzZs3Tx4eHo99HNt7nMX3xRdfJBne9e/f36L8xYsXNW7cOKuuBhEREbp165aOHTtmUb5Xr17asWNHkhe18S/CAgMDk9zf+Bcycb/3IUOGyM/PTzExMTp06JBGjhypd999VwMGDLB47Y4dOzRgwACFhoZaXSDFnUfCwsI0b948841Y69atrcKdTJkyqVatWhatX+O68Sd3kx7f4cOH1aNHD/3zzz8Wy+OO8YQ3K2XKlNE333xjEaBIsRf+zZs31/79+y2Wp+TYGTx4sO7fv5/sRd4ff/xhPjfYeiBx9OhRhYWFadmyZdq6detjfa5Syo6zli1b6sCBAzKZTMqePbvV795WyPfNN99o+PDhFuFznLjfffXq1bVq1SpzkJiYuHPIjRs31LhxY7m5uenrr79Wrly55Ofnp8aNG+ull17SlStXtGbNGi1ZssQcZvr6+mrTpk02W1In5O3tLScnJ5UuXVqvv/56kmXj34iGh4erd+/e2rFjh8X58p133tHUqVOTvFFMKK6lb3LHVnwJj+NGjRqpatWq6t69u2bOnKl169Zpy5Yt2rJliwIDA7V582Z9++23Wr9+vSRp//798vPzs3qAc/36dYWFhalRo0bavHmz5s6da/Ph1ZkzZ9SuXTt98MEH6ty5s937mpA9x4Akmzd0icmdO7d++ukndezY0fz7TOzSvXHjxho9erS8vb21a9cu8/dDUnVK+LtPeI6Ijo7W2bNntXDhQg0YMMBiH1u2bKmbN2/qo48+snlNEXe9lJL6Z8yYUb/99psWLFhgs7vnzZs39fHHH6ty5cpW5+/4Hjx4oG3btmnr1q3as2ePihQpoiZNmqhu3brmB7WdO3dOsuXXG2+8oX79+qlVq1bmFsaSdO3aNfXp00cHDhxQo0aNzA8vE0rsd58hQwZ5eXlp69atioqK0saNGxUTE6OBAweaz6dxTCaTPDw8VKFCBYvfx/vvv6/s2bOrZcuW6t69uyZOnKgrV67oq6++0pgxY1SzZk2r900YcNepU0d58uTRP//8o759+5oDbn9/fy1btkz58+dP9PebUGBgoJYtW6YGDRooX758Vg/DGzZsKG9vbzk7O6tkyZKaOnWq1YNVKfaarnLlyjpx4oRq1Khh9/snPIePGjUqyYfnixcvfuzrKCn2mnfTpk1au3atfvvtN/n6+ur9999XnTp1zO8XFRWlIUOGaN26ddq4caMKFCigHTt2qHv37nJxcZGzs7Nee+01LV68WC+99JLV9lNyTd2rVy+9+uqryT5s8vPz06JFi+Tj46MmTZqof//+KlOmjBYuXKiff/5ZCxYssHrNyZMn1bVrV40aNUqFCxdWnTp1dOPGDbm5uWn27NmqUKHCY59zihcvru+//165cuVS165dVaNGDTVs2FB//fWXPv30U/3888+SlOLv2oR1iLs3cHd3l4uLi0JDQ+Xs7KyXX35ZCxcuVIcOHWQYhv755x/lzJnT4uFq3N9gq1at1KRJE4vtTpo0SRs2bNDt27dVo0YNvf/++0m2xE2uhXvC4/jDDz/UJ598ojp16iS6z3HKlCmj5cuX680337RYfvr0aTVt2lQHDhzQuXPn9P777+vQoUOaPXu21q5dm2wDlpR+lyfXiCO+JwnEXwS0iIOVmTNn6sSJE1q0aJE6duwoKfZi6/PPP9fEiRM1bNgwc9n8+fNr9+7dVkHcrl27lDt37se6EJ89e7ZatGihgQMHWpUpWLCg+Y925syZmjNnjnmdva0lAgICzBc5AQEBdtcvIiIiRU8HDx06pOXLl1vc8GXIkEGdO3dWixYtrMrfu3fPHL68+eabOnbsmN544w116NBBPXr0MAckn332maTYp31//vmnDh48qJCQEA0dOlT37t1T8eLFValSJVWsWFFlypSxeI+9e/dq7ty5Vsvjix+uxf9/Qv/++6/Fz5MnT5YUe6EX9yS2b9++6tOnj8aPH69JkyZZlF+xYoWGDBmid99919z6o06dOnJ1ddWYMWOsgjhJKlWqlJo2baoJEybYvMiMfwzs2bNHM2bM0MCBA1WqVCm5uLjoyJEjCggIUPv27SWlrJWmJHMAN2fOHOXLl8+8fMmSJcqTJ4/u3r2r+vXra9myZeratavFa3/++WdNnz5dBQsW1Jw5c1SpUiXVr19fhQsXVvPmzTV37lzdv39fmzdvtrpRHDBggJo0aaJ27dppwYIF6ty5s8VxnJIvMnuPs/h27NihMWPGmMO7kSNHmsM7W60gRowYoXPnzql27dpasGCB2rRpo7Nnz+r777+32c1n8uTJFhe1c+bMsbqojR/CJPzdJmX79u2aMWOGxd9utWrV5Obmpj59+ljdyE2cOFH+/v7q1KlToqF2xowZzfUxmUw2u1nZsnXrVmXPnl1Hjx7V0aNHLdYl1sVw+PDhypkzpwYOHGjXGEQuLi66d++e1fKwsDCbN78Jn0YmvOmOb8uWLVq+fLlFKOPq6mpuwTJkyBB98MEHWrp0qXn9+PHjVb58eZsPJCZOnGjxQCIln6uUsuOsfPnyKl++fIq2P2vWLPNDgcRaQdvb6juuC9Ds2bP12muvaeHChRbfDR9//LH57/7atWtasWKFOYgrVaqUfvvtN7uCuEmTJmnz5s3auXOnIiIiVKdOHb333nt69dVXk3zdlClTdPjwYU2bNs1imIlRo0YpMDBQvXv3tig/depU9ejRw2o7mzZt0siRI7Vnz54Ufb8mdObMGU2bNk1OTk7atWuX3n77bTk5OalkyZLmEKtmzZo6ePCg+TVeXl5WNxKFChVSw4YN1bt3b/Xr1y/RFuQFCxZUjx49NHv27GQD4fgS3pzbcwxIsvlZJjVMQ7Vq1fTDDz8oJiZGNWvW1MqVKy1ag8XdKMbdzJ84ccK8Lv7/7VGuXDmrZf7+/sqTJ48CAwMtboL/+OMPLVu2LNmuTSmpf40aNTRq1KhEz3fZs2dXjx49NH78+CSDuLCwMN29e1f37t1TVFSUnJycNHPmTE2ePNl8nre35Ve/fv3k5uamHj166IcffjBfnwYGBlr1zogv4e8+Ojpa586d07Bhw/S///1PUuw5O66F0PXr11W7du1k/16l2JvrgIAAeXt7q0iRIvLw8FDLli3l4eGhefPm2bxGmjFjhtq2bSt/f3/NnDlTr732mr777jtzwB0XxDVq1Ejz5s2zaJmbnOnTp0uSzSDHZDKZ93Hq1KkaMmSIGjZsqMmTJ9s8L8f9/V2+fFkmk0llypRRuXLlUnQ+2bBhgwICApJ8eP6411GSlDlzZn344Yf68MMPdenSJa1du1ZjxoxRQECAatWqpVatWmn37t3asWOHvvjiC7322muKjo7W8OHD9dprr2nFihXy8PBQly5dNH36dKtWlym9pv7333+1adMmLVq0KMmHTTExMeYANF++fDp58qTKlCmjGjVqWDUQiDNu3Djly5dPb7zxhjZu3KioqCj9/PPPWr58uaZOnarly5c/9jknZ86cunz5snLlyqX8+fPrr7/+khR7nXX37l1zuZT2sIpfh40bN2revHkaM2aMOaA7d+6c+vfvr3r16unNN980/36qV6+ub7/91u5hY3r37q1evXpp9+7dWrt2rbp27aqsWbOqYcOGatiwodVD5ZS0cJdiQ7A+ffpo7ty5yp8/v9XnGv+4dXFx0Y0bN6yCuH///df8txMdHW1uURl3jNn6O48fmMa/Tjxx4oSmT5+uTp06mR9+HTlyRNOmTVOnTp2s6oRkGEAC7777rrFr1y7DMAyjZMmSxoULFwzDMIzdu3cblStXtii7Zs0ao0SJEsb48eON7du3G9u3bzfGjRtn+Pj4GEuWLDFWrVplrF692li9erURGBho+Pj4GKNHjzY2bdpkfP/998bkyZON0qVLG3PnzjVvs0KFCsZff/2VZB0PHz5sVKxY0ea68PBw48yZM0ZkZKQRERHxJL8KC127djWWLFlid/lKlSoZR44csVp++PBho3Tp0lbLq1SpYhw+fNgwDMMYO3asMWnSJMMwDOPixYuGj4+PXe955MgRY+DAgUbJkiUNb29vq/X+/v7G33//bfc+eHt7Gzdv3rRafvHiRaNkyZIWy6pVq2YcPHjQMAzL4+bQoUOGv7+/1TZ8fHyMixcvWpW/cOGCUbx4cZt1uXHjhrFgwQKjWLFixuzZsw3DMIwbN27Y3NdatWoZu3fvtlq+b98+45133klyvxPzv//9z+oY8PPzM9fdMAxj4cKFRqNGjaxe6+vra/zzzz+GYRhG5cqVjUWLFhmGYRjnz583/Pz8jFq1ahnbt29P8v3Xrl1r1KlTx2r5yJEjjfPnz9u1D49znBUrVsy4fPmyYRiG0bFjR2PDhg2GYcQey9WrV7cqX6pUKWPv3r2GYRhGgwYNjD/++MMwDMOYPHmy0alTp2TrePHiRSMwMNAoWbKk4evra/Tt29fqb+nAgQNGUFCQMW3aNCMwMND8b9q0aRblypcvbxw/ftzqPU6ePGmULVvWannx4sXt/l3GCQsLM9asWWNMnDjRuH37trFv3z7j1q1bKdpGYkqUKGGcOnXK7vJ9+/Y1GjdubLEPFy5cMD766COjZ8+edm/nl19+MZo0aWKxrHz58saePXusyu7evdv8uzx9+rTF77VkyZLGiRMnrF5z/Phxm+fBvXv3GnPnzk32czWMJz/OklO8eHHzOcoe1atXN27fvm21/OrVq0a5cuUMw4j9fv3ll18s1sc//xmGYezYscPiHPXtt98a5cqVM8aMGWOsWLHCWLNmjcU/W+7fv2+sXbvW+PTTTw0fHx+jZcuWxooVK2zWzzBiv69++OEHq+U//PCD8fbbb1stL1mypBEYGGj++caNG0aXLl2MwoULG/369bP5HilRqVIl4/jx48a9e/eMYsWKmeu2Z88eo0qVKlblBwwYYNy/fz/R7fn4+BiXLl1K8j0vXLhg+Pr6Wly3JPcvIXuOgYRiYmKMCRMmGD4+PkaRIkWMCxcuGD179jQGDhxo8xrm0qVLRkxMTJL78ixcuHDBKFGihMWyqlWrJnu9llBy9S9RooT5+yYxiX1fPXr0yFi/fr3Rtm1bo1ixYkbVqlWNyZMnG+fOnTOXGTZsmFG1alXDMGKvN8+ePZtsnTdv3mwUK1bMaNGiheHt7W20b9/e+Pfff5N9XWL+/PNPo2bNmlbLy5Yta/f5vmTJkuZjesCAAcbChQsNw4j9/dr6bjOM2N9t3GuaNm1qjBo1yjAMw7h8+bJRuHBho2XLlkbLli2Npk2bGoULFzaqVKliNG/e3Lw87t/jKly4sHHjxg3jypUrxv/+9z+jaNGiRlBQkEWZf//913xN9/vvvxsBAQFG1apVjSpVqhijR482fv/9d7veq2TJkik6f6fkOipOeHi4sWnTJqNjx45GiRIljHfeeceYMmWKMWDAAMPHx8eoWLGixTl6//79RuHChc3Xf4ZhGLt27bJ5TZrSa+r435e2/sWpX7+++Rpu+vTpxoABAwzDiD0mS5UqZXM//fz8jNOnTxuGEXsNGHeOjztnJtSyZUvj3r17Vstv3LhhNGjQwGLZ2LFjjZo1axohISHG7t27jfLlyxubN282evfubfz3v/+1WZ84//77r3HlyhXj8uXLFv8Sevvtt20eN4cPHzYqVaqU5HtEREQYhw8fNkJDQ5MsF+fhw4dGUFCQ4evra3h7exvNmjUztm7dal5vz3dRfC1atEjyX3xDhgwx38OHhoYa9+/fN3bu3GnUqlXLGDBggPHgwQOjd+/eRps2bQzDiD1XJPXPlgYNGhjbtm2zWv7DDz8YtWvXtvmamzdvGiEhIcb+/fuN/fv3G/v27TN27txpzJgxw+7fw4uKFnGwcu3aNZuDfebKlcvi6YQU29T8zp07mjt3rubNmydJypEjh3r06GE1hkuLFi30xRdf6IMPPjAvq1mzpgoWLKhFixapbdu2kmJbS9iajCG+l156SWFhYRbLjBSOORZnx44dNse+OnLkiMWTvZIlS2rChAnas2ePChYsaLW9hK1ZKlSooPHjx+urr74yP6W+deuWJkyYIH9/f6t6VK1aVcOHD9eYMWNUunRpBQQE6N1339WmTZusxtSKE9fN7tdff9W+fft09OhRubq6qkKFCqpcubJV+QYNGmju3LkaMWJEouNzxO/uYxiGOnfubLO7T8Kn1bdu3bLZzSBr1qwW4x/FyZ07t44cOWLVfeqXX36x2WrB+P+teT755BPlzZtXvXv31t9//53oYK7Xr1+3+VQ5a9asunPnjiT7Z8czmUzq3LmzTp06ZTV+i5GglVHlypU1depUq20ULFhQP/30k3LlyqV///3XPI7cN998o4IFC+rkyZNJNueXYlvG2OrSlJKB6B/nOPP09NTNmzf12muvKX/+/Dp58qSk2HE1bty4YVU+IiLCfA4pUKCA/vrrL/n4+Khhw4ZJdneOiIjQjh07tH79eu3atUs5cuTQf//7X127dk3NmzdX165d1a5du2Sb9sfvWtaqVSuNHDlSX375pbm7cGhoqKZOnWpzHIv8+fPr6tWrds/+duPGDf3vf//TzZs3FRERoQ8//FDz58/X0aNHtWjRIvNYgo8rZ86cevTokd3l+/fvr9atW+s///mP+W/03r17KlasWIq6C+TPn9/qqfZ//vMfDRkyRMOGDZOvr68Mw9Dvv/+ukSNHqkaNGnr48KFmzpypEiVKmF+TKVMmm60mbS2bPXu2Jk+erCxZsli1Rkz4uUopP85OnDhhMUC1EW9g81GjRlmVL1KkiE6fPp1kF89NmzZp586dkmJbb4wYMcLqiXVcqw4pdry8hOODli9f3uI7r3DhwhYtjuNaSixcuNDq/eO3NIkvc+bMatCggRo0aKC7d+9q27Zt2rJliwICAlS2bFnVrVvX4nUPHjyw6s4sxf5ebY1BNWfOHHXo0EEuLi567bXXNHr0aGXJkkXz5s1LdIwre79rpdgx/YYMGaJMmTIpS5YsqlSpknbv3q1hw4apWrVqVttO7Al83PZfeukl3bx5M8lWhbdv31aWLFn0/vvvJ1rGlpQeAwktXrxY69at09ChQ80tOWvWrKnhw4crR44cVq3Dc+fOrR07digoKMg87uKbb76ptm3b2mydldyYb/Ht2LHD5nhAoaGhCgoKsvpbaNGihbmFWVJj56ZkPNYcOXLo8uXLSU4KcfXqVfOs0PH5+/srKipK1apV0/Tp01WlShWr8Tv9/f3NrV/sbflVu3ZtmUwm9e7dWxUrVtTs2bPt3h9bnJycdP36davlcd+vCVu02PLWW2/phx9+UMuWLfXGG2/o4MGD+vjjj3X16tVEX5M1a1bdv39f9+/f1+HDh829Ay5cuKAMGTJY/H3Eb/WfEvaML50rVy4tWbJE48eP1+TJk/Xbb79p/PjxVud9X19f+fr6moeY2LRpkzp16qSMGTOqTp06qlOnTqLXTVWqVNHPP/9sdS+SmJRcR4WEhGjdunXaunWrHj16pJo1a2rmzJmqWLGi+W/N29tbAQEBFuOl7t+/XyaTyeL6PF++fFY9TKSUX1PbO2lPy5Ytzd8p//nPf9SgQQO5u7vr0KFDKlmypM3XODk5yc3NTVFRUdq/f7+++OILSbHfG3HfXT///LN5OKL9+/dr5syZdo2z1rNnT0VFRenKlSuqX7++atWqpR49eihr1qz68ssvbdbn0KFD+vzzz3XhwgWL5UYiQ3bcu3fP5vjKMTExVtdX//zzjwYNGqQePXqoUKFCaty4sc6cOaNs2bJp4cKFKlKkiM06Xb9+XevXr9f69et18uRJlSpVSo0aNdLVq1c1ePBgHThwQIMGDUpRC3cp6Z5JCX3++efq16+f2rRpY3HOf++99zRo0CDt3r1b+/fvN5+/YmJibN5vRUVFacaMGerWrZvVurNnz9o8P+XNm9dqCBVJWr9+vQYPHqyIiAiroYNy585t7uWVXhHEwUrBggW1Z88eq37w3333nc0/vk8++USffPKJbt26JcMwbH7pSrFjHY0ePdpquY+Pj8WAnAUKFNBvv/2W5I3woUOHrE5iKb2YlWK7oc2dO1c5cuTQzZs3lTNnTt24cUPR0dGqW7euRdklS5bI09NTx44dsxrjyla3sj59+uijjz7SO++8Yx5n49y5c3rppZcUEBBgVZd+/fppwIAB2r9/v5o1a6YVK1aoSZMmcnFxMQ/kK8V+SezcuVM7d+7U3r17FRoaqqJFi6py5crq1auX/Pz8Eh0w986dO9q4caN++ukn5cmTx2rcn6+//jpF3X3iK1GihDZv3qxPP/3UYnlwcLCKFi1qVZe2bdtq+PDh+vfff2UYhvbs2aMVK1Zo8eLFNrubxP9SqV69upYuXaqOHTvq3LlzNvfVx8dHX375pcaMGWMeL+POnTuaMGGCuetNcrPjPXjwwNzNr3PnzoqJibEKJbdu3WoxHpybm5vNkLNbt27q2rWrIiMjVa9ePeXPn19jxoxRcHCwpk+friFDhth9o5hQ3ED0Xbp0SXYiEXuPs/hSGt7lzp1bJ0+eVK5cuVSgQAHzRVFMTIwePHhgVd7ei9rAwEC1a9cuRU37f/31Vx05ckQ1atQwD3J87tw5PXjwQMePH9eaNWvMZXfs2KE+ffpo5MiR6tmzp9544w2rv5GEN4djx47VW2+9pY0bN6pixYqSYrtx9OjRQxMmTNCsWbPMZVM6Bo0kderUSaNHj1ZAQIDy58+f7A119uzZtWbNGu3evVunTp0y36T7+/vbfG1KbrpTepEnpeyBxJIlS9S9e3e7L8xScpwtWLDAfHzHHyQ/rtuTLe3atdOIESN08eJFm8dC2bJl5efnp+XLl5u3d+XKFYtzRFyXu7j3zpw5s1Xd4h8jknT//n2L8apS2rUwoWzZspnHxlqzZo2mTJmiX3/91eIcXqhQIW3ZssXqb2rz5s02ByEvU6aM5s2bp/bt2+vBgwdq3bq1unbtmuhDtJR810qx41JOnTpVFy9e1MyZM+Xm5qaDBw+qZMmSVmNSSrGThgwePDjRmQDr16+vb775JskZHVesWGERIsdJLkBM6TFg631TMkzDtm3b1L17d9WoUUN169aVYRg6cOCAunfvrsDAQKtxtZo2barAwEBVrFhR5cqVk5ubm44cOaLvvvtO//3vf63OabaCO8Mw5OHhoQkTJlgs3717t0JCQlSuXDllz57d6m8kLvBKyUy0VatW1cKFC5PsLrpw4UKLgCNOjx49VL9+fZshXZzFixcrf/78atWqlaKionTo0CH9/PPPyps3r1VoF79L1n/+8x85OTmpV69eWrBggcWEOImxNWB8aGhoosdiSrqhffrpp+rWrZtcXV1Vr149BQYG6tNPP9Vff/2lChUq2KxPUgF3gwYNzNfOV65ckZeXl9XvIyoqyur6N05KxpeWYrvRDRw4UGXKlNHAgQP1/vvv66uvvrIZPkmx55wyZcpo8ODB2rdvnzZv3qxPPvlE2bNnV506dawe1KT04XlKrqNatGihokWLqnv37qpfv77NbtRvvfWWXFxcLB46HThwQK+88orFQ4+bN2/afL+UXlNLMg8rdPbsWX355Zfavn273nrrLYvu5k2aNNHLL7+sl156yTzcT9yM6nEBW0IlS5ZUUFCQPD09FR4erqpVq+ratWuaPHmyObzLnTu3RowYYT4Pbtq0yeY4a/HHWpRiz2dxE19IsUNO9OrVS5kzZ070XmbUqFF65ZVX1K9fP7smSChfvrxGjBih8ePHm69rzpw5o+HDh1s92BkzZozu378vT09Pbd68Wf/884+WLl2q1atXa8KECeaJuuKsW7dO69at0759++Tp6amGDRvqq6++shhfMVeuXBo9erQGDRqkevXqaeTIkTp69KjN6wpbD9YePXqkLVu26O+//1abNm108uRJvfXWW1bnOXd3d3311Ve6ePGijh8/LmdnZxUuXNi8z1WrVtUvv/xiLv/xxx9ryZIlFt8Bx44dU//+/XX+/HmbQVzhwoX19ddfa8iQIebviaioKAUFBdn8/pw1a5bq1q2rdu3aqWnTppo/f76uX7+u4cOHp3g4khcRkzXAyo8//qiePXvqf//7n5YtW6Z27drp7Nmz5hZmCadPv379ur755hudPXtWAwcO1IEDB1SoUCGrp+v169fXe++9Z+5DHmfcuHHav3+/Vq1aJUlatGiRFi1apGXLllkNRirFtthr2rSpGjdubPHFW7duXfXo0UPvvvuu/Pz8tH79euXJk0fff/+9xowZY3NMgbfffltt27ZVq1at9Pbbb2vZsmXy8PBQ586dVa5cOXXv3v2xf49SbJCzbt06nTp1SoZhqHDhwqpfv75ds64ahqHjx48rR44cMplM5ouTIkWKKEeOHKpSpYp5LLikLjrjS+ksqPFnUE3OoUOH1KZNG1WuXFk///yz6tevrzNnzujPP//UvHnzbI4DsmLFCs2cOdP8BNfT01Pt27e3eYEbfyDYONeuXVPHjh114sQJqxDj5MmTat26tcLCwpQ/f34ZhqFz584pe/bsWrRoUbJPo9avX6/Ro0fL1dVVI0aMUPXq1VWnTh317dtX77zzTqKv27x5s4KCgmxegN++fVvXrl0zP8E9fPiwMmXKpIIFC5rHoLHVMifOoEGDdPv2bc2YMcNi+eMMRB8n/nGW2Lg09+7d04ABA1SpUiU1a9ZMn376qXbu3GkO7xLeSAcFBWn+/PkaP368Xn75ZfOMxrt27VJYWJiWL19uUd7b21tFixZV48aNE72o3b17t1atWqVJkyalaPD6lM6MW6xYMfMNd8IJP2w9aa1cubJmz56tokWLWpx3Tpw4oVatWlkMfL569WqLbUZFRencuXNau3at+vXrpwYNGph/H7be25aUzCwXHh5udWzYCgfj33TbGiw7sYu8iIgIq4vKq1ev6qOPPtLdu3ctHkhky5ZNS5YssQj7fHx8tGnTpmQnGYiTkuOsZs2aeu+999SlSxe98847WrNmje7cuaPevXvrgw8+sNkSIqWD3Lds2VLTpk1Lcnazli1bqkaNGkm2vAgKCtLBgwefuNWNJD18+FA//vijtm7dql9++UUeHh7m30X8IPSnn35Sp06dVKtWLfMYkgcPHtT333+vSZMm6b333rMZ2h45ckR9+/ZVly5dLGZdTBjuPOvv2ubNmys8PFyNGze2ORNggQIF9OGHH6p58+bq2LGjxWd0584dzZo1S0uWLNHChQstgtnkAsSJEyda1MOeYyAhX19ffffdd3r99dctziEXL15UnTp1rCa9atiwoWrWrGkVJEybNk0///yzVq5cabG8Y8eOKl68uFX54OBgff/991YtLRNO1iDFjgVZqFAhq0Hg7Z0pOCUuXbqkRo0ayd/fX507d1bhwoXN644fP66ZM2dq586dWr58ucU6KbYV1PTp05MMXFPSMthWC/RTp07pzp07KlWqlMVDN1uz/9k6h7i4uMjPz0/Dhg2zajGdkgmypNgA2tnZWd7e3tq/f78WLFigXLlyqVu3blaD/0uxN/RxAXf79u1VsmRJBQYG6uLFixo6dKj5801sFuJz586pQYMG+uOPP6y2/eWXX2rLli0aNmyYOnbsqPXr1+vKlSv6/PPPVbVqVQ0bNsxicoT4Lly4oO7du+vvv/9W165dNWnSpGS/2y5evKjvvvtOc+fONT9Yi8/eiVPipOQ66sSJE8n2YJBiW+RXr15dn3zyia5du6YaNWqoUaNGFi0whw0bposXL5p7FcVJ6TX10aNH1bRpU5UsWVK//fabxbXo9OnT9fbbbydb38ScP39ePXv21MWLF9WzZ081a9ZMI0eO1E8//aQ5c+ZY3e/Fn1ghOeXKldPSpUvtagUap0SJElq7dq3dPQ6uXbumtm3b6syZM8qaNasMw9D9+/fl4+Oj2bNnW5yvy5Urp0WLFqlIkSLq0aOHDMPQl19+qbNnz+r999/Xb7/9ZrHt4sWL65133lHjxo1VtWpVq/Baiv0sf/zxR/Xu3TvF1xUJe11s3bpVo0ePTrLXxY0bN2zOyJrwe7lbt276888/FRwcrOzZs2vatGmaN2+efHx8NHLkSJvbDgkJUdu2bfXKK6+oaNGiFhNwLVq0yGr/4n9WLVu2VPv27VW1alVt27ZNs2bNsvshzYuKIA42/fLLLwoKCtKxY8cUExOjt956S+3bt7cK4c6fP68PP/xQmTNn1rVr17R582ZNmDBBO3fu1MKFC+Xr62su+/3336tbt24qXbq0SpQooZiYGP322286fvy45syZY36CFx0drZYtW+rUqVNq3LixeVbKO3fu6NChQ1qzZo3y58+vJUuWWDx9T+nFrBR7At2yZYtef/11ffrpp3r//fdVu3ZthYSEaNCgQdq6davVa+ydSvzLL7/U+++/n+jg0AklduFz6dIl1a9f33zyr1y5su7cuaMSJUqoUqVKqlKlinx8fB57UOyErly5oly5cslkMiU7ZXXCk/qJEyc0f/58i+OmTZs2FsdBQhEREeYZKqOiomyGr0kJCwvTkSNHbA4wHRoaqo0bN+rUqVMymUzy9vZW3bp1kxxY/+bNmxo6dKh27Nih+vXra9CgQeYv6QkTJujgwYMKDg622eotKirK3AoypTPvnThx4rFuFKXkb4ZS0tUqqe5AcZIL7wzD0KJFi5Q/f35Vq1ZNs2fPVlBQkHLlyqXx48dbPc2196I2TuvWrdW4cWOLG/+nxdZNaHwJjzM/Pz/zOSlhENesWTMdOnQo2ffcvHmzVq5caX7SmjCwS0rCgahv376tWbNmWc0kGhkZqdOnTyskJMSifEpuuuPYe5EX58GDB+buGkk9kGjdurXef/991a9fP+md/v9ScpwVL15cmzZtUt68edWmTRs1a9ZMNWvW1K+//qqxY8dq48aNVttPbmZLe7uWSLGBpJeXl1avXq1x48bZvGCVYmeZbd68uUJDQy1moEtJS8oHDx7oxx9/1JYtW7Rz5065u7urZs2aqlOnjipUqJDosATff/+95syZY/E5tWvXTrVq1ZKUeIvO+K0LEwus7fmujT8zckoDHntmAty2bZs+//xzhYeHq0CBAubrinPnzsnDw0NDhw61Oqc8zQAx7hhIqE6dOuratavee+89i3NIcHCwgoODtWnTJovyPj4+2rBhg1XXwcRCEj8/P61du9aq/Pnz51W/fn0dPnzYYnmXLl3Us2fPJ+5W/yQOHjyoPn366OrVq8qYMaOyZs2qu3fv6tGjR8qdO7dGjx5t8+Fe9erVNW3atERbDCUmMjLS3GLq2rVr5uuQ9DT7X3BwsPk7KG7w/IShwr1795QjRw5t3rzZ6vW1atXSsGHDVLFiRYvjeM+ePerXr5927txp84FqnIiICI0cOVIrV660eQ6RYgO7uNmTjx8/Lm9vb9WuXds8++uTSO6ck5LJfuJac+7cuVOfffaZ3n77bR0/flw3b97U6tWrVbBgQZ04cUIrVqzQ8uXLNWvWLJtBWUquqT/55BP5+vqqZ8+eFr//MWPG6ODBg/r2228lxbYY37Bhgw4dOmTze9ze4/jWrVvKli2bze+TxB7i37lzRwMHDrR4mJySWUHj1KpVSxMnTkwycI8vrgttXE+BuPuBChUqWH2n+fn56bvvvlOuXLlUoUIF9erVS//73/905swZffTRRzpw4IBF+Tlz5qh+/fqJDu3ypPr06aPQ0FBNmTJFFStW1Pr165U1a1b16NFDGTJksGhRn9Iuu9HR0erbt6+OHDkid3d3/fPPP+beXEm5ePGivvnmG506dUpS7P1r06ZNbd4PlC5dWmvXrlWePHk0ePBgFShQQG3btjV3RY7fAys9omsqbKpatap5DKukjB07VjVr1tSoUaPMT9EnT56s/v37a+LEiRZP7959913zheWvv/4qKfaPd8SIERY3JM7Ozlq4cKGmTp2qVatWWTytzZEjh5o3b67PPvvMqgtMSscckyzHWsibN6+5i+xrr72ma9euWZQNDQ1V27Zt9ccff8hkMqlSpUqaOHGiLly4oAULFlgFSBs2bNCsWbNUqlQp801HwhvbxxmP7ddff9WJEyfM3VNnzZqlTJkyqXz58uZWckmFKbdu3dLZs2dtjpP02WefqUaNGuYnlomNLZPYSd3b21vjx49P9L0T1qNHjx7y8/Mzd72pWLGivL29NWXKFJstCkJCQhK9eEgYkHzwwQcaNWpUsl8o8X333XcaOXKkXFxcFBgYaDXrWJs2bbRu3To1b95cffv2tegac/jwYU2cOFG3bt3Sxx9/bLXt5Mbp2bFjhyZOnKjPP/9cixcvtnmjOHbsWJvd6JJrdWDP7MUJP9PkQtiXXnrJPK5HwuPNZDJZtPj59NNPrbpXJKxfXMvav//+W4MGDUq0Za2kFDftt6e7Rpz4y2y18EqobNmyWrZsmcUNW2RkpGbOnGk+JybHx8fHojt2wuD0/v37un37trm7/rZt21SuXDmbLR6GDx+uPXv2qFKlStqyZYvq1q2rM2fO6NixYzbHU7T1O7h165bNEC6lF3lx/vzzT+XLl09NmzaVFNsK+sSJEypTpoxFy9ESJUpo2LBhOnXqlPLly2d1gZ/wc03Jcebh4WEOJuPO9XFjlCYWuKUkaJNiL07HjRtnFYJGRETo1q1bOnbsmN5//31t375dH3zwgRo2bCh/f395enrqzp072r9/v9auXat33nlHVapUeazZ/Dp16qRdu3bJ3d3dHEr4+/sn2sUnvnfffTfJGSBttfixlz3ftatXr1bz5s2VMWPGJJ+S2xoKwp6ZAONa+61fv15//vmn7ty5o6JFi6p58+Z67733bLbeuHnzprllTeHChXX48GHVrl1bPXv21KBBg6yCOHuOgYRSOkzDq6++qvPnz9sM1mx103r11Vf166+/WpX//vvvbbY+3bt3r83xlBKT0rEX7QmWS5cura1bt+rHH380f1aenp7y8/NTxYoVEx3zt1GjRmrXrp0aNGigfPnyWV0nJjyH2LoOadSokfk65EnDtbVr16pWrVpWY2WFhoZq9OjRNrcfFRWlmzdvWh0/R44c0Z49e+x+b1vbttVSP46rq6saNWokwzA0ffp0m9esmTJlMgfzCdkzvnRS3ezd3Nw0cuRIlS9fXtu3bzcvP3/+vLZs2aLNmzfrxIkTeuutt/Tee+9p8uTJFt3/7BX3u0zYtdne66jk2q/E/y6sUqWKgoKCtGLFCvn4+Ojjjz82B9zffvutNm/erBEjRiTaWi0l19RHjx7V0KFDrZY3b95c33zzjfnngIAABQcHy9vb267eLlLi14Nx46u99tprOnjwoC5evCgp9jgrVqyY1fbPnDljdQynpDt2nM8++0wBAQEaPny43njjjUTPB3EaNmyoqVOnqkqVKqpSpUqSZYsWLapvv/1Wr7zyiu7du6e3335bERERmjNnjs2HZ0FBQYn+TaSUrYc1e/fu1ezZsy0aEGTLlk39+/e3Guc4pV12nZ2dNXHiRA0YMEAbN27U8uXL7Qo38+TJo969eysiIkKurq5Jns+LFy+ulStXqlevXipUqJB+/vlntW3bVqdPn072c0sPCOJgJbGnQiaTSa6urvLy8lLVqlX10ksv6dChQwoODrb4I3RxcVGnTp304YcfWm2jVKlSdt2curm5qV+/furVq5cuXryou3fvytPTU3ny5En0Dz6lF7NS7BOuiRMnauTIkfL19VVQUJCaNWumrVu3WrVMmzx5skwmk91TiW/fvl2HDh3Shg0bNHHiRI0aNUrvvvuuucuFpMcej83b21ve3t5q3769Hj58qD179mjXrl2aO3euhgwZovz586ty5cpW06HbM2jmokWLzCFYSm68DMPQmjVrdPToUT169CjZp2yjR49WWFiYRbfGOXPmaNiwYRo3bpzVOHrJDdCf8CLq4sWLVhe/ibl165aGDRumbdu2qW7duvriiy9shhzZs2fXggUL1KdPHzVv3lzu7u7Kli2b+Un9W2+9pTlz5ti8uGnUqJHNbok7d+40j8PwODeKcZK6GXqcG+iUDPB9/Pj/Y+/Nw6l627fxc5uaNKBJk8qnaEJKUhqkmQrNoUSURiRDSqYMkYSEBlQKlUSmZhkaDA0UKqmEBkmhMq7fH357vXvttTZ763ne7/d9ns7jcBy19tprr732Wvd93dd1XudZ2G6Azw3u+5mbWWtpaYmkpCTY29vTmLWAYOL1nO0aBQUFaGxsRGFhITw8PHi2a1y4cAEnTpzAx48fkZqaipMnT2LAgAG0tnqgzRxBX18fjx49QlNTE5ycnPDmzRvU1tbi3LlzHV6L+vp6nDt3jqIzyInnz5/D2NgYenp6pDaWp6cnGhsbERYWRhP+v3//Pry8vDB79mwUFxfDxMQE8vLy2L9/P0WLk40fP37A29sbBgYG+Oeff7Bp0yY8ePAAw4cPR2hoKKWIIWiQB7Qlt21tbWFpaUlq6JWXl8PIyAh+fn6MYzNTSyb7d+0sa0pZWRmhoaFwdHQkA20zMzPk5uZSFptMBh68wP1cubi44O3bt1i4cCHCwsJgbGyM0tJS3Lhxg9ReAtrGsrCwMJw7d45kKQBAv379YG5uDlNTU8qzx2KxsHjxYlpS+OfPn5QFFgDcvn0bIiIiGDFiBMrLy3HixAmcOHGCr/MvKCjAqVOnKAYAGzZsIANzpqQtv+BnruWUj2CSkmgPMjIyyM3Nhba2NkaOHEky4Gtra9HY2Eju17dvXxgbG/N9XEGKdQD/9wAnli9fjubmZhw/fhy/f/+Go6MjJCUlYWFhQSavOaGtrQ0nJyccOHCATCbk5ubC2dmZkVWyadMmODk54dmzZ2Q3Ql5eHm7cuMFoLKSrqwsfHx9s27YNMjIy7RYjOqO96O7u3m6LPhtiYmJYsGABrRMDaEuQXrx4EVu2bKFsP3bsGHle3GAyNhE0DhEUdnZ2CA8PR3BwMGWB/fv3b8TFxdHiooyMDNja2jIapHTt2hXjx48n/08QBHJyctC3b1+MHTsWIiIiKCoqIlsgeZ0PE7p06YKBAweSXSDZ2dnYtm0b34kaQHB9aSa8fv0aT548QVZWFoA2gzG2ecWCBQvg6+vLWJxjQkFBAfbv389TN5KpcNTeGNiexEd7mD59OqOBze7du+Hg4MAzzhKUuSYqKoq6ujracSorKylJnISEBLi7u9PY9O2ho3iwsLAQLBaLvL9YLBZjEr579+6kMR8bpaWl5DjGZFrBhOPHj6OiooJRT419Ppz49etXhyaAbNja2mLLli349u0bTE1NMXDgQDg5OeHWrVs4efIkbX9FRUXcvn2bL81IQPBiTX19Pc+1THNzM+X/r1696rBll4nly2KxICIigt27d1PGbV6FiAsXLuDkyZOorKxEamoqTp06hf79+zPGyGyTtT59+kBXVxfHjh2DlpYWKisrBWJB/qfibyLuL2jIzs5GdnY2REVFSZHmd+/e4ffv35CWlkZNTQ26dOmCM2fOoLW1lXGCq6+vp7EZOqMlwl5QcOL79++IjY1FdHQ0UlJSyO2CBrNAm3C9ubk5kpOTsW7dOoSFhZETJnfAcufOHRw+fJiyMJWVlYWjoyPPNkR24tHBwQEZGRlITEzEtm3b0KdPH9y+fRt9+vShDHT86rFxonv37tDU1MS0adMwf/583Lx5E7GxsTh37hwtEcePaCbnYkuQhZeXlxfCw8MhJyfHqPHFjYyMDERERGD06NHktnHjxuHAgQOMrBZBBPqBtsWHg4MDTExMMGzYMNokzGZxJSUlwdXVFUJCQggMDKSx4LgxatQoxMXF4eHDh3j06BGqqqogISGBSZMmQV1dnVEfAgBPUdKoqChkZWWRLDpBF4pAx4uhjn7H6upqWuKZc5FeVFSEY8eOYevWrZg4cSJERUWRn5+PwMBAcuLlfl7Y59G1a1eIiIigrq4OwsLCkJCQoAVPgjBr2efDL3x8fGBsbEy2awBtCaUePXogICCAlohLSEjA4cOHsWHDBjLokpWVhY+PD7p27Ur7bWRlZXH16lVcuHAB/fv3R2trKxYtWoR169bR2Ca8mCAsFgvOzs6M5+/p6Yk5c+ZQBNuvX7+O/fv3w8PDgyYcXF9fT+omjRw5kmz7NTAwYHyuPDw8kJOTAyMjI9y4cQM5OTk4dOgQkpKScOjQIQQEBJD78hPkcSM4OBh2dnYwMDAgt/n7++PMmTMICAgQ2IiAX9YUQJ1TrKysYGxsjMjISKxduxbBwcGYMmUKfv36RVkYCMqC40ReXh6CgoKgqqqK9PR0zJ07FwoKCjhy5AjS0tLI4hSLxYKxsTGMjY1RVlaGr1+/QkJCAkOHDiXHj+rqapJtYG9vzyjMXFhYCF9fXworUEdHp1MyBY8ePYKxsTFGjx6N6dOnk8madevWISIigsYeEVRvdM+ePdi6dStfcy0bv3//Jt36SkpKcPfuXUycOJGxmNeRE2BnCwWCFOsA/u8BbqxevRqrV6/u0PQKaGODvHz5Eps3byZ/a4IgMHv2bEbW68qVK9GlSxecPXsW169fB9DG+ggKCmIsRKSlpeH9+/eM0hwAdZEbGRkJU1NTRu1FXskgXlIJbOYEWyuTCffv30dUVBRu3bqFlpYWWiJO0PGkoziEHzY50PZM8zIxEBcXx4oVKxAUFNQh28TX1xdjx46FoaEhdu3aBR8fH1RUVMDf3x8eHh6U+MTHxwcDBgyAh4cHmSxtaWmhiKhzg/v6tLS04O3bt3BycsLq1avJ7a9evcK7d+8wbty4Dr87Gzt27IClpSVev36NlpYWXLlyhaIvzQuNjY1ISUlBVFQUHj9+DBaLRX7P4uJiiIiIoL6+HleuXKGYK3GDO1Hm4eEBYWFh7Nu3j1E3khuCjoHsc//w4QOGDRsGgiDaZfiUlpYiNzeXjLcmTZrEaITDhqDMtblz58LPz49yrUtKSnDw4EGKIUFjY2O7RihM4C7atLS0oLS0FOHh4eT4raysTN5f8vLyyMjI4Flg5IQgrqBsCOq0uX79euzYsQP6+vqM6wHO66GgoICMjAzU1dWRa5kNGzbAwsKCsUAvLi6OQ4cOITg4mJHR19mCHee58dt1IS0tzWiIxokPHz4wbmcXvHm9zgZTjDxy5EieMfLkyZORmpqKxsZGSEhIIDIyElFRUZCWlu5QE/O/AX8TcX9Bg4KCAlpbW+Hn50cGg9++fYO1tTWUlJSwZcsWODo6wsfHB+rq6ggJCaE4abGdKbldm7gXTS0tLfj69StERET4Ysnl5uYiKioK169fR0NDA00DpL6+XqBgFmgbtOLi4tDQ0AAxMTFERkYiPT0dAwcOpAVMglqJc7+3tLQUZWVlaGhoYLSF9/DwAEEQuHfvHlmNGzVqFE9Nn48fPyIvL4/8e/nyJbp06QIVFRXs3LmT5kgItFViAgICICsrCzk5OVRXV2POnDlobm5GcHAwLQD++fMnwsPDeVbkOCeYuLg4uLu7861H1tLSwkjxFxUVxa9fv2jba2trBdIE8/PzQ0tLCym+ywZnG93OnTtx48YNDB06FNbW1ujduzdN/4ENFRUVWjJZSEiI1ER49uwZRWuHX5HqGTNmwMvLq8NWUE5wt4IKshjilwHFmbxzd3cnGZ1sjBkzBv369cOhQ4ewZs0aSoB/7do1nDp1Ch4eHiSV/+3bt7C1tWX8DQVl1goCfts12Dh9+jQcHBygq6tLJrnWr1+P7t2748SJE4xJ0gEDBsDCwqLDc+FmggBt97uioiLP9vmCggK4u7tTWCkiIiIwMzPDihUrGM+Fre8zfPhwFBcXAwC6detGtgdxIi0tDceOHYOsrCxOnDiB6dOnY8mSJZCTk4O+vj5lX36CPG68f/+ecbGvoaFBYxFzo7q6Go8ePcL48ePJpObOnTvJhBQv1lR1dTX27t1L2TZ69GjcvHkTP3/+RI8ePRATE4OEhARIS0tj4cKF5H5/0orW2NhItmaNGDECxcXFUFBQgI6ODs+Ac+jQoYy//b1792BnZ0cmtJl+a4IgaNfW09OTr3NlG+SwceTIESxfvpyWEHZ2doafnx9tscQdrLe0tOD9+/eoq6tjdEEdNGgQba7NyMjAgAEDGJMTbEbO0aNHISsri5UrV0JISAi/fv2Cj48PFi1aRNm/IyfAuXPnUpJWvMDNmhI0gdiZewBoY4nGxMSguLgYwsLCGDduHFatWsW4kO3SpQuCgoJQUlJC0fNrL0G+dOlSksnfEQRZ5H78+JFM9MnLyyM/Px9z586FnZ0dPD092zUl4QZ3iz4bNTU1ZPH1/fv3EBERwZIlS9o9dkVFBUpKSqCiooL6+nqesWBHcQjTmM1GY2MjTp06hffv31OYapxgsVg4cuQIQkNDsX79eri7u7fLAnn9+jXc3d0hLy+PMWPGoHv37jA0NET37t1x6tQpSiKOrS/GOTcICwvDxMSElOboCMLCwpCVlYW9vT127dpFzs+SkpKora3t8P2c0NDQgL+/P0JCQiAsLIxTp05h1KhRjCZvQFuBPyoqioxXWCwW9PT0sGXLFnJM7IzZBxsvXrwgdSNjY2MxevRorFu3DgMHDkRMTAxtDBFkDCQIAocPH8bZs2fR1NREJhu7desGJycnSkLu8+fPZDGe815jS9y4u7szamsJylyztbXFpk2bMHXqVLS2tkJPTw91dXWQl5enME1nzJiBtLQ02vzeHpiKuWpqahg6dCgCAgJoxhiCJMQF1aIG6Nq4HcHX1xcAKCYZbDDJaggJCVEIBSNGjEBjYyNyc3NpCdnu3bvzZOYxQdBijSBdF/y07HYm8cmJzsbIbPzzzz/Yt2/fH53DfxL+JuL+goZLly7h9OnTlMBFQkICe/bswcaNG7Fjxw6YmJhg7dq1uHbtGtavXw91dXU0NDTA3Nwc5eXl6NOnD21BwLRoqqurw969e3km4urq6hAXF4fo6GiyJURdXR2mpqa0iUFdXR3z58+Hrq4uT+t2XmBXMLp168az119QK/G6ujqkpqYiISEB2dnZGDRoEHR1dXHkyBFIS0vT9q+pqYGJiQmeP3+Onj17giAI1NXVYdy4cQgLCyMnBSsrKzx+/BgfP36EiIgIlJSUoKmpiX379kFRUZGnEDfQ1urBDtpkZGTw6tUrzJw5E+PHj8e7d+9o+zs6OuLWrVuYPn06T0t5NhoaGgQWs/X19cWRI0fIal9dXR2OHj3KWK1TVlbG48eP+WasMLWmcIPNDmA7dvFaoLEn6sDAQAgJCXUoysrUKssLqamp6NGjB1+toLy0uARZDAnCgGKjtLSUsbVk2LBhqKyspG338fHB0aNHKXoaw4cPx759+2Bubk5bkPLDrOV0WxNEvJ7fdg3O78rUUqWqqkpWKzsr4C2IaQYbPXr0QFlZGS1Z8/nzZ8aWsfnz58Pe3h6enp6YNm0aLC0toaioiJs3bzIWAH7+/EmOR5mZmTA1NQXQ1gbFbptgQ1BdFqAteZednU07/8ePH9PGlJcvX2LHjh1wc3ODnJwcli5diqqqKoiJiSE0NBRTp06Fg4MDxMTEeC5mHz58iD179uDbt2+017p27UpWwvv27ctXK0llZSUiIyMpxZHVq1czLg4GDx6Mly9fQlpaGiNGjCDvw9bWVjKByYslxISzZ8+itbUVGzZsgL+/P0U3k8VioXv37hQmDz9IS0vDhQsXkJ6ejufPn5PbX7x4wbhwNzAwYEwCMgXzBEHA1dWVUV9QX1+f1Ert0qULunXr1q4ena+vLzQ1NTFhwgTExMRAXFwcN27cwOXLlxESEkJbRAOgJCmWLFlCMf2YPn06Hj16BCUlJWhpaWHBggU8W/1Pnz4NdXV1jB49WuAEIj/3ADfY7ogSEhIYP348WlpaEB0djYiICJw7d47Wfs5GdXU1vn//ThpHNTc3M2oBCiI3Agi2yO2M9iITmFr0c3JyyOJrY2MjZGRkwGKxcO7cOZ4GUI2NjbC1tUVycjKEhISQmpoKLy8v1NfXIyAggMYs6igO4TVmP3/+HHZ2dqisrISVlRU2bdrEuB9BEBASEoKDgwOGDx8OGxsbvHnzhmcSRFhYmGz7Z2sdqqmpYerUqSTrnQ1RUVFUVFTQErAlJSV8y3KwISQkhM+fP5P/nzlzJjZv3oxZs2ZBRkaGxvLhFd90pC/d0tKC69evIzo6Gg8fPoSwsDDU1dWhpaUFe3t7bNy4kTJX6OnpYeDAgTw7DdoDP7qRnBBkDDx79iyuXr2KAwcOkHHB3Llz4ezsjL59+5IM9rq6OmzYsAGtra3w8vKCmpoaJCQk8OPHDzx48ABBQUFYv349YmNjab+ZoMw1cXFxREVF4f79+6S5w+jRozFjxgzK9VNSUoK3tzfu378PWVlZ2jwuSPJz+PDhjEm3hoYGREdHU9ov2d+poKCAwrblp+2VCbdu3WI8fn5+Pi3+F6StWNCWZkGLd4IWa2RlZREfH4/z58932HUhaMsu0MY8T0lJwZs3b2BsbIyXL18yMvDZ4CdG5sSXL1/g5+fHk9DR2Zbv/xT8TcT9BQ3Nzc1oamqibW9oaCBbZcTExNDa2ooBAwYgLi4O165dQ2FhIVpbW7F27VosW7aMLyq1uLg4du7cCWNjY0qy4NmzZ4iOjkZSUhJ+/fqFUaNGYdeuXQgICICtrS1jUuDAgQNISEiAiYkJBgwYAB0dHejq6tIWgPy2GgDUQYvd2vTs2TOyBZbTSpwbbEHh+fPnIyIigqdeChteXl6kbgg7gVFUVIQ9e/bg8OHDZJXu7du3WLRoEdTU1DB58uR2HUC5Iaho5p07d+Dr6wsNDY0Oj62uro47d+5QWtDaA7tdbebMmaTg7tu3b9GnTx9GHQZBBfo5E7XV1dUQERGhtcwKOgGsWrUKN27cAABoaWlBS0uLb7dPpmCjvr4e379/x44dOzq8P9qDIIshQRhQbMjJyeHMmTOUlpfm5maEhIRgwoQJtP1//PjBKPbd2tpKjiGc4IdZ6+7uTi5Q2mMpcIPfdg02+vbti9LSUsbEEbtq3RF1vz3cunULISEhFA0aExMTnkmJBQsWwNnZGU5OTuTCPz8/Hy4uLozvsbS0JE00lixZgvnz58PCwgI9e/aEv78/bX9ZWVncvXsX0tLS+PLlC7mIiomJoS3wOhPkrV27Fq6urnj//j25eM7Pz0dERARNT8TLywsyMjIYOXIkrl27hubmZqSlpSEqKgp+fn6IiorC2rVrYWNjAzExMUripbW1Ff7+/ggNDcWIESNw/PhxyrH5MUvhRnFxMQwMDNC1a1eSKR4bG4vIyEhcuHCBliDR1dWFjY0NDh06hNmzZ2P9+vUYNGgQMjMzyXbh8vJySst4e+fEXoRZW1tj/PjxjAUcflBVVYWLFy/i4sWLqKysRI8ePWhaeBISEozJy+rq6g4NS9hgm2esXr0au3fvprw2bNgweHh4kMxaPT29dgtmL168wKFDhyAuLo6MjAzMnj0bXbp0waxZs8giH6czX0fJ8VOnTqGmpgbXr19HUlISPDw8oKKiAm1tbcybN4+SPAwICIC3tzekpKQwbdo0TJ8+HdOmTUO/fv06TCDycw9ww8vLC4sWLSKNgoC21iN7e3scPHiQpoUpqHGUIHIj7Hua30Uuv9qLnOioRf/s2bNk8VVaWhr6+vrQ1tbGuHHjMG7cOJ7HBdrGKLY5D7tt1dDQEPb29vDx8YGTkxNlf3t7e+jr6/MdhzQ3NyMwMBAnT56EvLw8rly50q7+Gef31NfXx9ChQ2FlZYWXL18y7j9q1Cjcvn0bhoaGGDlyJHJzc7FhwwYagxVoi4kcHBxgYWGB8ePHk62UAQEBWLduHePxmVq06+rqEBMTQ0ksp6amQkpKCgUFBSgoKKB9J3ayRtCW71mzZqG2thZTp06Fq6sr5s2bRxYYmNiQnOZhgoJf3Ug2BBkDo6Oj4ejoiHnz5pEsq8WLF0NUVBQeHh5kIo797F6+fJmyJpKUlMTixYsxa9YsUiaGOwEmKHMtPz8fEyZMgJqaGqUjpra2Fm5ubmQi99y5c5CUlMSLFy9o7dS8ishMrLW6ujqEhIQwGr64ubkhLi4OY8eORX5+PiZOnIh3797h69evNCYrP22v3PDx8cHJkyfRt29ffP36FQMGDEBVVRVaWloYGdntFfAbGhoo/xe0pZlXFw0b3MnUzhRr+vfvz1fXhaAtu1VVVVi9ejW+fv2KxsZGrFy5EqdPn0ZBQQEiIiIYWdb8xMic2L9/PwoKCqClpcW3tvB/E/4m4v6CBnV1dTg7O8PX15dkUJSWlsLNzQ3q6upoaWnBhQsXyKCyW7duNHFWQVBbW0uhwOvp6aGwsBCysrKkpTU7OGRi67Cho6MDHR0dVFVV4dq1a0hISCB76PX09LB8+XIA1EU8W8x69erVFO2ryMhI2oCmrKyMqKgonD59GjIyMnjy5AlGjRqFvXv3MlZnnZ2dsXDhQr4TZXfu3IG/vz8lsSMvL499+/bBysqKTMR1pIvUHgQVzRQSEmq33YWz0i4hIQFPT088fvwYMjIytAom9+QuIyODpKQkJCYm4tWrVxAREcHatWuxZMkSRlFVQQT62Thz5gxCQ0Px9etXAG0TiImJCRkICKoH5eLiggMHDuDBgwdISkrChg0bICUlRSbl2nPw4jZrANoq2kpKSgIxCfPy8mjbBFkMCcKAYsPGxgYmJiZIT0/H2LFj0draioKCAvz69QsRERG0/dmVsUOHDpFBWklJCZydnRmTX3Z2dh0yazlZGoIwy/ht12Bj9erVcHFxIRf2b968QUZGBvz8/Egdv85S+69fv45du3ZBU1MTWlpaIAgC2dnZZJGBiS21e/duvH//Hhs3bqTcP/PmzWM8fzExMYo2pIuLC6ysrCAuLs7Iltm5cyd27NiBpqYmaGtrY/jw4fDw8EBkZCQpfM6GoEEe0Kat0tjYiDNnziA4OBhAW1BpaWlJS9o/fvwYFy9ehJSUFNLT0zFr1iwMGDAAenp65OKf3dJgaWmJwMBAzJo1i2SlPHnyhHQ05k4E82OWwo1Dhw5BVVUVhw8fJo/X0NAAa2tr+Pj40FgVZmZm6NKlCwiCgIKCArZu3Yrjx49DWlqaTDKzC0wpKSl49+4dFi5cCC0tLZ4MH6BNZ6+95A8vZGVlISoqCrdv30ZzczNYLBbMzc1hbGxMK5RpaGjA1dUVvr6+5Jj/+vVruLm50dqO2sO7d+8YF7keHh5wdnbGrVu3kJCQgE2bNqF///48C2bdunVDY2MjGhoakJubS8YYVVVVZDD/4cMHkrHAT3K8T58+WLVqFVatWoWqqiqkpqbi4sWLcHJygrq6OhYvXow5c+YgOzsb+fn5yM3NRU5ODg4ePIja2lr8888/UFdXx7Rp0zBlyhTGYgM/9wA3ioqK4OHhQXk+RUVFsWXLFsbYSlDjKEHkRkJCQgRa5PKrvciJjlr05eXlMXLkSBw/fpyvIiAnEhMT4eTkRJlTVVVVcfDgQdjY2NASccOGDeM7Dnnx4gXs7OxQWlqK7du3w9TUtN0OBIDeBj1z5kxERkbStO3YMDMzw86dOyEqKgptbW0EBATAzMwMxcXFtMS1tbU1fv/+jQMHDqC5uRkEQaBLly4wMDDgyWpiSmyIiIhg4sSJlGvDr1kKr0QJN9gxWm1tLaSkpDBo0CD06dOnw/i4I4fS9tCRbiQ3BBkDP3z4gDFjxtCOIS8vTzEcSE5Oxs6dO3kSE3r06IGdO3fCz8+P9psJylzbtGkTwsPDKed1+/ZtODo6UmI7QY1wAOZCFkEQ6N69O+O4duvWLXh4eJCFDldXVwwdOhSWlpY0ooegba9AW9vu3r17sX79esyaNQvnz59H9+7dsW3bNkaph2/fviE4OJhmkNDU1ITXr18jJyeH3FfQlmZDQ0Oamy6LxQKLxYKQkBAtkS1osaa6uhonTpzAq1evGOdWzkSmoC27np6eGDVqFK5du0aaaXl5ecHCwgLe3t5kzMYJfmJkTjx48AAnT578I7LBfzJYxJ+Mcn/xH4nq6mps3rwZBQUF6NWrFwiCQG1tLRQVFREQEIDnz5/D0tISISEhGDhwIHx8fHgOEJwsA6b2iPr6eiQlJWHMmDHkA88OwvT09DB9+nTKpDJu3DhcvXqVLwempqYmxMTEwNfXFz9//mRkaxgYGEBHR4dGO4+Pj0dERAQuX77c4edw4k90viZPnoyYmBiaI1RJSQn09PTw9OlTAH/m6ge0Wcw3NjZi6NCheP36NUU0k7vq5+DggH79+vGsxPC7QGOxWDTGyfnz57F06VKBzSn4RVRUFA4ePIh169ZBRUWFTHpERUXB0dERK1as+COnT6DtHsvIyEBycjJu3bqFYcOGYfHixdDS0qL9vrzahoC2NkOmShIbdXV1uHr1KqKjo/Hq1Svavfzy5UuSVcpeRPz48YNcDHEKeC9fvhwrV66EtLQ0Nm/ejJSUFAwfPhw+Pj54+PAhLl68yHgOZWVliImJwatXrwC0tYquXbuW8bw/ffoEExMTlJSUUMYQBQUFhIaGUlrs2Pj16xeFWTtq1CiezNr2HHpZLBaj011H7Rqc8PX1RUREBFkpFRERwZo1a7B3717G99TX1yM+Pp7Svrh48WLauevo6GDu3Lm0ADowMBBpaWk8rz3QFuywF4qysrKUpG9HFVlOMLW6fPv2DZ8+fSKLAM+ePUOPHj0EMmXgB9++fYOoqCjPZ37y5Mm4cuUKpKWloaqqiv3790NHRwdFRUUwMjLCgwcPyH0PHjyImJgYbNq0CWfPnkXXrl3h4eHB6E7XHthmKUxswYkTJyIqKooWHBcVFcHAwIASvANtrCttbW0aI4kXcnJykJSUhNTUVHTr1g2LFy/G4sWLaSxbExMTqKur89VK++3bN1y+fBkXL17Eu3fvICUlhUWLFmHx4sUwNDTkOX9+//4dGzduRGFhIZnoqq2thby8PE6fPk1rU2FioNXX1yMzMxOampqMzAHuz7ty5QoCAgIY5+ddu3ahoaEBvXv3xvXr15Geno6ysjI4Ojpi6NCh8PX1xaFDh7B9+3aB2/C48enTJyQkJCAkJAQtLS20YgdBECguLkZOTg5ycnKQl5eHmpoaTJo0idYCxdRG3hGWLFkCc3NzWjEsLS0NXl5eSEpKomxn6ysqKytj4sSJiI+Px9ChQ/H48WNs27aNdJxkQ01NDadPn6YlDoqKirBx40bcv38fr1+/xtq1a5GdnY1Zs2bBxMSEXOReuHCBXOROmTIFu3btohzn9+/f+PnzJyQlJVFVVcWovSgIjhw5gqtXr+LTp08YPXo0Fi1aBC0tLQwdOrTDGFBRURGJiYkYMmQI5dq8ffsWS5cupei48ovm5mYEBQUhNDQUo0ePhqenJ98t4eXl5Rg0aBAtiVFVVYX09HTGhfPz588hLCwMeXl5PHr0CGFhYZCWlsbOnTsZxeLr6+tRWloKFouFESNG/PHz0B7YrEgm4wJ+UFdXh6SkJFy+fBlPnz5Fjx49oKmpicWLF2P79u2Ii4uj/Lby8vLIzMzsFCMOAG7evIk+ffpg8uTJSEhIoOhGcjO5BBkDFy9ejB07dmDRokWU+ywyMhKRkZHkM6ukpIRr164xssbYqKiogJaWFh4/fkzZ3l58zRRTHzx4kFy7SEtLw8XFBYmJidDW1oaxsTHGjBkDFovVKU22R48e0baJiopi9OjRjAzV8ePH4/r16xg0aBDMzc2hpaUFbW1t5Ofnw8LCgq9ulLKyMmhpaTE+s+PHj0dKSgqGDBkCMzMzUvYgJycHDg4ONKMZCwsL3L9/H9OnT0dKSgq0tLRQUlKCFy9ewMrKiiI5pKioiJSUFEhLS8Pa2hrKyspYt24dysrKsGrVKty/f59ybO6uEzaj7+jRo7C2tiYTXGwQBIGIiAgMHz4cs2fPRmhoKEJCQiAtLY1Dhw7RpI42bdqE/Px8TJs2jZGkwN0aK0jXhbq6OkJDQzF27FjKfVxUVIT169cz/u6AYDHytGnTEBkZ2a4xyX8z/jLi/oIGSUlJxMTE4OHDhygsLCQDAnbVQlFREffu3UPPnj2xZs0afPnyBYsWLerQGpqJySUqKkrqGLGRmpqK2NhYnD17FocPHyaTG/zaHOfk5CAhIQEpKSloaWnBwoULeTJonj17hoMHD9K2KygokJp0bPBqfeHUWTl69Gindb7GjRuHCxcu0JxOL1y4QAmgHz16BCEhIUyaNKndyZ0XOBeJMjIyWLZsGWOrJ9B2L5w+fRr37t3DiBEjaPt0prLGRkhICLy8vDBnzhwsX74c06dP56vdkF8R5vDwcNja2lJYN/PmzYOMjAwiIiKwYsUKgau53BAVFYWGhgY0NDTQ2NiIy5cv4/Dhw/D19aX9vqtXr4afnx9tkZaYmAgXFxc8fPiQdvyCggJERUUhMTERv379wtChQ2n3B9DG7OMWor927RoGDhxIWwwJwoBio7KyEkOHDqW1mzU0NCAuLo52bQYMGICrV68iKysLr169AovFgry8PKZOncrzNxaEWSuoQy/Qdq83NzeT9w2vJFxOTg527NgBc3NzvH79GgRBYOTIkTyTRxUVFTAwMMDXr18xYsQItLa2IiYmBsHBwTh//jxFT/DNmzcU3So2tLW1ceLEiXbPf+TIkbQk/cePHzFw4EDGiiwTmMad9evXIzAwkJL8UVBQwNevX6Gjo0NLVgvaWgvQNUgePXrEqEGipKSEkJAQSEpKoqGhATNnzsSnT5/g6+tLYzA4ODiAxWLh2LFjmDRpEoKCghgTvB2BbZbChB49ejDKNDBtA9ra4jpyXebE5MmTMXnyZOzbtw8PHz5EcnIyjIyMICUlhcWLF5Nu3IK4ss2aNQtSUlLQ0NAgmUH86Cv17t0bly5dQnp6Ol69ekUaAPBygmZioImJicHIyKjdhGFDQwNu3bqF+Ph4ZGZmQlpamlFf68CBAzhw4ACKi4vh7e0NcXFxXL16FWJiYuRcHBYWBhMTE0riwczMDG5ubu0WNthgF1JSUlJw69YtEATB+PuxWCwMHz4c1dXVqKqqws+fP5Gdnc3YXjhv3jxMmjSJXBi210bJxqZNm+Dm5obPnz9DVVUVIiIiyM/Px5EjR7Bu3TpKol1FRUVg4yhB5EYA4OvXr2QSQE5ODs+ePcPChQthaWkJBwcHWiKuM9qLHbW+WlhYID09HbGxsQgKCsLRo0cxduxYEATRrmGMrKws7t+/T5tLEhMTGZN3HWlZ+fn5wc7ODm/evMG2bduwefNmgfTKKioqeCY+eMVvnE6lU6ZMadf1nN8iEBvr16/HsWPHaC1iX79+hYmJCTneC6qTxQQmsx1xcXGSlVpSUoJLly4hISEB8fHxYLFYCA8Ph6mpKUXP9PTp03x1ljCxANvTjQTaEnUzZsxAly5dBBoDTUxM4OzsjC9fvoAgCNy/fx/R0dE4e/YsJa7s0qULo0YtJ378+ME4TggaXzs4OEBUVBRGRkYQERGBmJgYTpw4gRkzZlA0dnnJNPBamwBtMSavDpK0tDSaaZCkpCS+fv2KQYMGYfjw4eRYKSEhgaqqKsq+gra9AtSxji3HArQlET99+kTb//79+/Dy8sLs2bNRXFwMExMTyMvLY//+/bS1nqAtzUzXZdiwYRAXF4eTkxMSEhIor7ElHNgwMzNjdLRnIzc3FyEhIe2OA2wI2nVRX1/PM3Hf3NzM83OsrKz4jpGXLVuGkydPwsXFpUMG8X8j/ibi/oIRLBYLU6dOZdRw4Vw8FRUVITIyki+Lc6ZJ5dWrV4iKioK2tjaZeZeRkYGlpSV27dqF9PR0XL58GSdPniQZc0lJSdi4cSMtkDh8+DASExPx8eNHqKiowN7eHgsXLmw3QSgjI4PExESaVlF0dDQtaGtqakJiYiL69u1Lamk8f/4cnz59gqKiIh4+fAhRUVHY2toKLKANtFVs1q9fjydPnpDmFbm5uSgqKqJolRw+fBjJyclIT09HY2MjFi9ejEWLFvG18KisrCQ1RUaPHo0VK1aQrCVuSjsAPHnyhGyZ4hTyZQJBEDh27Bj69u2LNWvWAGhLPmloaDC2Ydy9exeZmZmIi4vD9u3b0bt3byxbtgy6urqMlRNBRZgrKioYRYM5F96CODvxwufPn3H9+nWkpKQgNzcXMjIyjIKrXbp0gY6ODhwdHbFs2TLU1tbCyckJSUlJFD0XNjMsKiqKot/h7OyMVatWMQZQOjo68PPzI5/Dvn378nSUmzVrFtLS0igMKC0tLaxatYonA2rOnDnQ09ODs7MzhdVXW1sLe3t7xiSlsLAwZsyYgRkzZjAe80+YnYI49Ap63+zYsQMnT57EuHHjGPXvuOHp6Um2LLCFxquqqkhqP2ebWP/+/fHu3TuaacK7d+94ameUlZXBy8uL1lLR2NiI6upqvHjxQmCtw7S0NDK4zM7ORnBwMC0Ye/fuHa3S25nWWkE0SPbv3w9LS0uUlZVh7969kJSUhKurK0pKShgTlezqK5sp2pnWB7ZZChOmTp2KQ4cOwd/fn2SiVFdXw9vbm9GVWlFREbdv3+YrEcEJISEhqKmpYciQIRg0aBBOnjyJwMBAMhEniCubpKQkampq8OHDB7x8+RIjR47ki6FnbGwMTU1NzJkzh9HllhuCtmenp6fj2rVruHnzJgiCwMKFCxEWFsbzN5OUlKRJUVhZWVGKQUyJ5+zsbJrmDycaGxuRnp6OlJQU3L59GwRBQENDA56enpg5cybl+MXFxcjIyEB6ejrJklNSUoK6ujosLCwYTZrOnj2L+Ph4HDp0iNTD09XVZbxf2LC1tQXA7Hh79OhR8t/sRbKgxlGCyo0IsshtT3OXXaBctmwZtm7dSu7HT+sri8Uihf+/f/+OhIQExMbGorW1FQYGBli4cCEMDAxoLd07duyApaUlXr9+jZaWFly5cgWlpaWkqyU3OtKyWrlyJZqbmzFw4EDcv3+fxobhBFMHgqBta4K0ofFbBOIc7x89eoTjx493ON4LqpMF8Ge2wwlZWVnY2trC2toad+/eRWxsLOLi4hAbG4tp06aRcW9iYmKHyU+2thkvYxImbN++HdbW1khJScHAgQOhqamJS5cuYdasWR2OgcuXLye1on///g1HR0dISkrCwsICa9euJfebMGECEhMT29USTkpKYmyV7QzY+qmhoaG4cOEC+XxERESQhSqm+7Qj6OjowNnZmUKI+P37N9zd3XHx4kVa8m7mzJlwdnaGh4cHJk2aBHd3d8ybNw9JSUk0szNB216BtnZzHx8fuLq6QlFRESEhIVi3bh1SU1MhKSlJ27++vp4c30aOHImioiLIy8vDwMCANo4K2tLMCxISEqQJXmBgIExMTNCtW7cO71HuhPKAAQP4KugAQFBQELZt20Y5hpGREQIDAxEcHEyL0VRUVHDhwgUK0aSpqYmUdeKF379/IzU1FSUlJTAxMcGLFy94GjzU1NTg2rVruHv3LoYOHUojdHTmfvxPwt9E3F8A6FjImhOci77hw4fj169fAn1WY2MjUlJSEBUVhcePH4PFYjFWoYWEhMgJ8du3b2QgFhQUhLCwMCxdupRiM56cnAw9PT3o6uryrf21c+dO7Ny5E1lZWZgwYQJaW1vx+PFjFBYW0hZ+Xbt2xfz58+Ht7U0OJE1NTdi7dy969uxJaqykpqbStI94mQVwYuLEiYiMjMTp06dJm3M5OTk4OjpSRHTZemR1dXW4desWkpKS4OvrC0VFRWhra2P+/PmM7QtAW3BVW1sLSUlJJCcno7y8HJGRkYiNjYW3tzdpRc2GIIuto0ePIioqimIPvnjxYlI0nTsZx2KxoK6uDnV1ddTX1+P69etITU2Fjo4OxowZg5UrV0JLS4tMpAoqwjxo0CAUFBSQ7kRs5OfnkwkTfoM2FotFLoqBtlam1NRUpKSk4PHjxxg6dCgWLVqEffv28Qy4IiMjERoain379uHmzZvIz89H165dcfbsWUyePBnFxcWIiopCQkIC6ZZrY2ODRYsWQVNTE5MmTeL5jP769atDRionJCQk8OvXL6Snp0NFRQWDBw9ut/WDIAjcvXsXxsbGCAgI6JB59ObNG7i4uJAuSdwoLCwUWJ+PE4I49Ap630hKSlI0KztCVlYWTp8+TXH769u3L2xsbEj9PTa0tbXh5OSEAwcOkK09ubm5tACXEy4uLnj79i2ZuDA2NkZpaSlu3LhBOlQJei0HDx4MFxcXcnGYlJREWeiwHTm5NegEDfIAwTRIZGRkaMzpbdu2Ye/evWQllfuZFRcXR8+ePWFmZoYNGzZQKq6c59mRWQoTrK2tsWbNGmhoaFCE3Hv37o1z587R9heEucbG+/fvkZKSgpSUFBQWFkJeXh6mpqaU+0EQV7Y7d+4gKyuLZOd6eXlh4sSJHTLKR48ejXPnzsHNzQ1jxozBnDlzMHfuXJ7j2d69e2FsbEwrWFVXV2PlypW05LCZmRlUVFSwf/9+LFiwgC+Gy+fPnxETE4PS0lLs3bsX2dnZGD16NI0Zyg9u3ryJlJQU3L17Fy0tLZg9ezY8PDwwa9Ys2u+0d+9eZGRk4MuXL5CRkYG6ujqMjIwwZcqUDtv+VFRUoKKiAkdHR9y9excJCQnYsmULpKSkoKOjw6hHyDYA+vr1KyQlJckkDS8Iahy1f/9+bN68GQsXLqTJjTg6OiI9PR1RUVGk5qEgi9y9e/fi8OHDWLt2LZlUffz4MakZ17t3b5w5cwZiYmLkeCiovlPv3r1hYGAAAwMDFBUV4dKlS7h27RopZcAJDQ0N+Pv7IyQkBMLCwjh16hRGjRqFI0eOYMGCBbRjd6Rlpa2tzXdszATu54C7bY0bNjY27bahcYLfIhDneM9isfga7wXVyQL4M9thgrCwMDQ1NaGpqYnq6mpcvXqVMg9cvnyZ79ZU7vmjsrISoqKiGDp0KERERPD+/Xs0NTVh/Pjx2L59O8TFxREQEIDJkyejvLwciYmJPJk93MWQ1atXY/Xq1aiurgZBEIznaGRkhC1btmDMmDGMY/DVq1cRHh7OqH3Mjzs8r4KmiIgINm/eTCEFsOcfTmZVTU0NxamXF9auXQtra2tkZmZi//79KC4uho2NDerr6+Hn50fb38bGBnZ2dnj06BHWrVuH6OhorFy5EiIiIjQGOtO82F7bK/v45ubmSE5Oxrp16xAWFkbKUjB1ugwYMADl5eWQlpbG8OHDUVxcDKCtE+P79++UfVeuXAkJCQn06dMHsrKy8PDwoLQ0c4NJGqSurg4RERGkvnlsbCz09fXRrVu3dnW+mcwy9uzZA2dnZ1haWmLo0KG0uYGzlVjQrgtbW1vo6+vj0aNHaGpqgpOTE968eYPa2lrGGAegF1dXrVrVocGDtrY2z+/8346/GnF/AaDNBIE94NfU1OD8+fPQ0NDAxIkTyTaJ69evw9jYmNJGmpeXB2dnZxgaGjIOEJx6RO/evUNUVBSuXLmCmpoasFgs6OnpYcuWLQJpqhQWFuLy5cu4du0aRTOIE/wkvji/w7lz5yjaV8bGxrQFyOTJkxEVFUVbeHBqq7x9+xZ6enpk9bwjswBOpKWlYebMmZ0K+r5//05hZamoqEBLS4vRSTQiIgJjxoyBhYUFCILA0aNHUVpaCj09PTx+/BjZ2dnk796e9hTb+Y+N2bNnkxV27u/l4uLSLmuHbbBx/fp1PH36FIqKivj8+TN+/foFHx8fqKmpYf78+XBycsK0adMoWgb379+HjY0N0tPTKccMDw/H8ePHsWvXLgrD0N/fH+vXr8e2bdsgLy8PISEhWoWO6bveunUL4eHhSE1NxdOnTzFo0CAsWrQICxcu5IsRCrRRvR0cHHD16lWIiIjg2LFjZOVVXl4eI0aMwIoVKzBv3jxKArEjXZzQ0FDExcVBX18fw4YNowXwnM+hoAwxoO2ZiIuLg6OjI2pqahAcHIwRI0agqqoKM2bMoC2GDA0N8fXrV6xZs4YxwOPWxamoqMDAgQNp40dzczNevHhBSUQDbawHVVVVvhx6Bb1vvLy8cP78ecyaNQsyMjK0RTp3kKSqqopz587RHDSLi4uxZs0aiu5LQ0MDLC0tcfv2bfI5JwgCs2fPxpEjRxiTE+y2S1VVVejo6MDFxQUKCgo4cuQIXr9+jWPHjv0Ru3DOnDm4dOkSYxWZGwoKCkhISKAx+t6+fYtly5aROpac6EiD5NixY3yNN0DbfdxZXUrOOY4NfsxSOFu/2MWRJUuWMD4nHTl3shNq7969Q0pKCpKTk1FUVIRRo0aROm68DF+qq6tRWlpKtomxWZH5+fk8TTR+/PhBFrCeP38OoO33MDEx4cnQev/+Pe7evYu0tDRkZ2ejb9++0NTUpLXEy8vLQ1xcHL6+vhTmMa8x4cOHDwJJKbx79w6rVq2CuLg4Pn36hOTkZHh7eyM9PR3h4eFQVFRk1I/ivMe4z5cthTF79ux2E4F2dnakttGyZcv4do1lQnV1NeLi4nDs2DH8/v2b/B2Att/w5MmTOHfuHIVx3q9fPxgYGMDU1JRnPFBUVITTp0+TupejRo2CsbExT9MPgiB4yo18+/YNIiIi5FhdWVkJc3Nz6OjoYN26dVizZg35e9rZ2VEEuVevXg09PT2sXr2a8nmXL1/GpUuXcOHCBdy6dQuHDh0idZs60ndqzxRGWFgYkpKSUFRURFZWFubPn89zX37wr9CyAv6PTAC/yM3NZWxbmzhxIt9taJMnT8bp06dp8+OzZ89gamrKKHfB73gvqE4W0GYadfHiRcjKysLc3By9evWCl5cXysrKsGTJEjx58oTnXCUqKorevXtDQUEBy5cvJ+/FP9GICw8Px927d3H48GHy/T9+/ICNjQ1Gjx4NKysrXL58GYcOHcL379/blXdgatnkt1Bw/PhxHD16FHJycpg0aRL69OmD2tpa5OTk4OXLl7C1tWW8LrGxsYwGQ3FxcbCxscGyZcs6nHM4wVnQOXnyJM6cOUMaSwwZMgSmpqZYtWoVz/fn5OTA1tYWra2t+PLlC7S1tWFvb8+XJARBECgsLETfvn0Zu3fevn2Luro6jB8/HkAbg2/27Nm0WIMbDQ0N6NKlC379+oWMjAwMGDCA9jwAbXHdzZs34enpicbGRlhaWsLJyQk3b97Eq1evcPXq1Q6/Ay+wE6bc987gwYPh7e3dLrOMH9y8eRO2trY02QGmVuK5c+fC0dGR1g2UlpYGBwcHZGRk0I7/+fNnnD9/nqLPvG7dOp7ztbW1Nerq6nDkyBFMmzYN8fHx6NWrFywsLNClSxdGg4e/4I2/jLi/AAAKI8Dc3ByWlpY0NsfZs2dx8+ZNyraXL1+ipKSEdLLjBIvFQkFBAa5fv47o6Gg8fPgQwsLCUFdXh5aWFuzt7bFx40bGJFx1dTVOnz6NXbt2QVRUFEuWLKEMQmpqarQFNCBY4osNZWVlvgZKERERVFVV0ZIhX758ISfLlpYWsnUvKioK3t7eNLMAX19fiIuL0wwidu7cSbZn6unpCSRs2bt3b5JBduXKFRw5cgQZGRm0RFxTUxN69+5NalqwRfxbW1vJ8zY0NCQDn/a0p7gngJqaGkZmzvDhwykuUmw0NDTg+vXruHr1Kh48eEAyBjw8PMjJ19nZGXZ2dmQrJTe7DQCkpaVpFS2grfWxvLwc7u7uaGlpAUEQpKAoO9BftWoVyUZgMw3bayHw9PSEqKgoZsyYQbYt3rlzB3fu3KHty52wKSgowN69e1FZWQl3d3dyAb169Wrs2bMHSkpKePLkCWJjY/Hp0ycsXLiQ7wnc19cXAChsRDa4fydBGWJA24Tft29fnD17FjY2Nli9ejUZWDLh6dOnuHDhAt8JSk1NTWRmZtIWBx8+fIChoSGePn3aaYdeQe+b1NRUSElJoaCggNY2xFStVFZWRlBQEA4dOkS6mjU1NSE4OJj2+3Xp0gVBQUEoKSmhJHZkZWV5LgAaGxvJ8x8xYgSKi4uhoKAAHR0dsgWaSQycX7SnQ8MOctnoTGttRxokgo43ndWl5MV66wjPnz+HjIwM2W7k5eWFoqIixpZKfphry5Ytw8uXL/HPP/9gwYIF8PX17ZDhFR8fj3379qGxsZG8Puzfe/DgwTwTF7169YK+vj709fVRVFSE2NhYJCQkYOPGjZCVlUViYiLtPcOGDYOWlhakpKTQp08fJCcn49y5c4zalKtWrcLWrVtha2vL2I7PiSFDhqCoqIiiOcWZTHRzc6Ps7+npiblz58LNzY18jnx9fWFrawsfHx+SrS3Ifd/U1IS0tDSkpaXx3IfFYuHAgQPIyMiAp6cnDh48iEmTJmHGjBmYPn06LeHOhJ8/f+LGjRtISEjAgwcPMHjwYJiYmNAKENu3b8e9e/ewbNkyqKmpQUJCAt+/f8fDhw9x/PhxPH36lKdup7y8fIeGGNzfix+5EaBtbIyLi0NDQwPExMQQGRnJc5FbWFjIeMzJkyeTHQtjx45FZWUl+VpHra/8aLf27t2bZNtz4+HDh4xGPgB9XhZEy4oJaWlpuHDhAtLT0ylJ1o7A2bbGCUHa0ISFhRkTyl26dGFsawX+z3hfV1eHN2/ekGwx7sKCoDpZQFsXi5iYGJqbm/Ho0SOSPVRfX08WB3mxt1tbW/H9+3eEhoYiPDwc0dHRfJve8EJoaChOnz5NSeL16tULVlZWMDQ0hJWVFZYvX47ly5cDaHumMjIyKOx2XuAuFFhYWCApKQn29vZkoYANc3NzKCsr4+zZs7h+/TpqamogISGByZMnw8nJiWfynJf0xvjx43Hx4kUsW7ZMILY0G6GhoQgKCoKhoSEmTpyI1tZW5ObmkiZXvJJxAwYMwJAhQ5CbmwuCIDBkyBCe9yqvotrPnz9RWVmJgQMHkr9vVlYWzM3NYWRkRCbiEhMT4efnhxMnTjDOtUy6cuPGjQOLxUJVVRUkJSUpcSGb4VpRUYElS5Zg/vz5sLCwQK9evSjt/2ykpaXh1KlTePPmDaKjoxEbG4thw4Zh2bJltH2ZkvWioqI85YL09fWhp6eHRYsW8WWs4u7ujqlTp2LVqlUdMsk703XRv39/WFhYoLGxEaKioh3OqQ8ePEBoaCjlXHr37s0zoQy0FXciIyMpWparV69mNAb5b8PfRNxf0HD//n3GQGjmzJnw8fGhbAsMDMSKFStgYGDAOEDMmjULtbW1mDp1KlxdXTFv3jyyesIr2KqqqsLy5cshJiYGfX19SEtL48OHD1i+fDn69OmDiooKXL58Gbq6uhTnJkETX0Db5J+QkEC20HEHbZyT3IIFC+Do6EhOnARB4MmTJ3B1dYWmpiZ+/vyJ48ePkwkafswCOJGZmYnExETExcXhxIkTUFRUhJ6eHrS0tNp1Fv358yfu3LmD1NRU3Lt3D927dyd147gxduxYXLp0Cf369cOPHz8wa9YsNDY24sSJE2QC6tKlSySTUBDtKXl5ecTGxtIE/XkxudTU1NDc3IzZs2fj2LFjjC6Wampq5DnwI8LM6aInJCRECku/efMGAGiCoi4uLjhw4AAePHiApKQkbNiwAVJSUmRSjpudwp40Xr16RTIomcCUsFm9ejWUlZURHByMQYMGQU9PD3PmzIGDgwPS0tJw+/ZtvH37FpcuXUJ8fDzOnj1LMVtob3K8ceMG3wLSiYmJpIg7G6qqqjh48CBsbGwYE3HszxYTE4Ofnx+OHDkCU1NTxtYaoG2RwU5K8QK7DRtoW5AvX76c9h1+/PhBXnNuOn///v3x+PFjmtMY97UXVLxb0EQPu31x3rx5ZBCZn5+P+vp6GrVfU1MTly9fhqysLIW+/+nTJyxdupSRwTB48GC8fPkS0tLSGDFiBJlUbW1tJUXLmbSl+MW3b98QHBxM06BramrC69evKc6gnQnyOtIgcXZ2JhOwgmrdCQJebeicZjszZ86ktPUnJibC1tYWlpaWZFtteXk5jIyM4Ofnxyip0BFLori4GCIiIqivr8eVK1dw5coVnufMvh7BwcHQ0tLCpk2bsHbtWpw+fRqfP3+Gs7Mz3wlGeXl57N27FzY2Nrh27RrNVe769et4+PAhHj58iJKSEvTv3x9qampwd3enub6xr5uJiQkmTpwIGxsblJSUwNHRkec4FRYWRrYkcSZbuZnVbOTl5SEyMpJyPBEREWzdupWyUHRzc6Mki5uamuDt7U1bIAqqB7p27Vo0NzcjLy8PmZmZiI+Ph5eXF/r3749p06ZhxowZmDZtGk0GwtLSEnfv3gWLxcLChQsRHh5Ofj+2MQLQxhh79OgRYmJiaNqsixYtgr6+PgwNDREbG0tbkPNjHLVw4UKymMePVAAT8vLy8OrVK4iJiWHUqFGMTJMhQ4bgzp07tGLnnTt3SIbY+/fvKUWWjlpfOxqDa2pq4O/vD09PT8TExFBeCw0Nha+vL3r27EkrDjDNy4JoWbFRVVWFixcv4uLFi6isrESPHj14LkD5aVvjhCBtaIIUgdggCAKenp44f/48mpubQRAExMTEsHr1auzdu5d83jqjk8WP2U5HiaPGxkZs3boVfn5+8PDwwJAhQzpMVlRXV2Pv3r00Jk5TUxOjecnXr18Zx6lbt27xzbzjt1DAhqqqKt9yGh1BQUGB5/opLy8Pw4cPh6SkJOLi4pCcnAxlZWWYmZmR3zkyMhJOTk6UQv3cuXMhKyuL0NBQxkRceHg4jh49in/++QcJCQkoLi7GgQMHcPPmTbi7u9O0KY2MjCgFF4Aew06ZMgUBAQE4fPgwjIyMKN1WMTEx8PX1hY+PD2NLc0dySmJiYtDS0oKTkxPExMTw7ds3CmHExcUFVlZWEBcXp+geA21rse3bt0NLSwtPnjxBa2srmpubYW9vD4IgaASHwYMH49GjR2hubqbIb2hqajLObcOGDYOHhwepIaqnp8dYzGCjuroadnZ2fHWOmZub4+XLl9i8eTOt64JNvODGhQsXcPLkSVRWViI1NRWnTp1C//79adrpbAhq8FBcXAwDAwN07doVCgoKaG1tRWxsLCIjI3HhwgW+ilv/yfibiPsLGvr374/79+/TWA83b96kVbPq6+uxadMmnhTW2tpaSElJYdCgQejTpw9fujChoaEYNGgQwsPDKQH2hg0byIHo06dPiI6OpiTiBE18AW2VhsjISLLNpj3Y29vDxsYGxsbG5ADHDrYdHByQlZWFR48eITQ0FAB/ZgGcEBcXJzUn3r17h4SEBJw7dw4eHh6YO3cuVqxYQQ7W9fX1uHPnDlJSUpCeno6uXbti7ty5OHbsGKZOncrTmcbW1hZbtmzBt2/fYGpqioEDB8LJyQm3bt0ihXHXr19PBqH29vYIDAzkq8WX7SiWk5NDBl35+fl48uQJY1XfwsICS5YsYRT3ZGPOnDlk6wk/IsxMLnpWVlbtuugJCwtj+vTpmD59OpycnJCRkYHk5GQsX76cdOzV0tLCoEGD/sgl1traGkZGRpTgYcaMGYiPjyeTX8OHD4e1tTWsrKxw7949xMbG4ty5c2hpaYGlpSUMDQ2xdOlSWrukpaUl3Nzc2mXzsSEoQwygi6JbWlpi+PDhcHR0ZNzfwMCADKJ4PVd6enr49u0bafLB5DDYo0cP8vf/EyaUIOLdvMBm7nCOOUBbou/q1auIjIwkndaWLFmCtWvXYvDgwUhKSiLZu+Xl5XBxcaH9fuXl5TyDSl1dXdjY2ODQoUOYPXs21q9fj0GDBiEzM5NkJMbFxWHx4sUQExOjuZxygzuIdHZ2xv379zF9+nSkpKRAS0sLJSUlePHiBaysrPD161dycdKZIK8jDRLOOYX974aGBpSWlkJMTAxDhw7tMKnLD7Kzs5GdnQ1RUVEyQfHu3Tv8/v0b0tLSqKmpQZcuXXDmzBkyMAwODoadnR1lTvH398eZM2cQEBBAS8Txw5JgcvbrCGVlZQgICICsrCzk5ORQXV2NOXPmoLm5GcHBwZQqfUNDA7y8vJCYmAhRUVEsW7YMu3fvJhf0Dx48gL+/Pz5+/Ej5jJ07d0JISAiamprw9PQkk8q8wB4T5s2bhzNnzsDc3Bzv379nZOUCbYs/U1NTbN++HRoaGqRExe7duxm1BVtbWxndGuvr68n5TUVFhca2njhxIr59+4Zv377R3tsR037atGmU8xcRESFdKy0tLVFdXY3MzEw8ePAA+/fvp7WaAm1JmgMHDlB08F6/fo2oqCjEx8eTplQXL17E9u3baUk4NkaNGoUdO3bg0qVLtEQcP8ZRwcHBOH36NCZNmoQDBw7g69evsLa27lALCmiLXbZv344XL16gd+/eaG1tRV1dHVRVVeHn50dJPpqbm8POzo40OmhtbcXTp0+RkpICFxcXlJaWwt7entJCKqi+Ezf69OkDY2NjRt2hc+fOYdeuXe22t3JCEC2rrKwsREVF4fbt22hubgaLxYK5uTmMjY15znO8WL7stjVuEASBkpISGBsb07Zzs9sFKQKxERwcjMuXL2PPnj2YMmUKWltbkZ2djWPHjmHAgAGkg7GgOlmA4GY7TBATE4OZmRlZ5KuoqMCdO3d4FnoePnwIa2tr1NTU0F6bM2cO9u/fD0dHR4wfPx4EQSA3Nxeurq6kKQgnOtIM5kwi8lsoeP78OcaMGdNuofT379+4cOECXyY/7N+WibUXFRUFZ2dnnD59GhISErC3t4eamhrCw8PR1NREzj3fv39nZOGpqKjwHL+9vb2xefNmbNu2DcLCwhgxYgSUlZWxd+9erFq1itY94OnpiSNHjmDfvn2kNEpeXh7c3Nywbt06KCoqwtPTEz4+PigpKWHUmVu5ciVPnWp3d3d4eXlh+/btlOMHBATAwMAAw4YNQ2BgIAICArB7927MmjUL48aNI7UI5eTkeGpps99jZGREFqwsLS0hLi6OU6dO0WIoQQt2Hh4ecHZ2xq1bt5CQkIBNmzahf//+0NHRga6uLi3hpqqqSmpRd4T2ui6YkJCQgMOHD2PDhg3kGnDkyJHw8fFB165daeMQILjBw6FDh6CqqorDhw+TsW9DQwOsra3h4+NDapP+14L4i7/gQlRUFDFu3DjCxsaGOHv2LBEREUHs2rWLGDt2LJGUlETZ19ramggLC+N5rNraWiI6OppYtWoVIScnRygrKxN79uwh7ty5Q4wbN4549eoV7T3z5s0j7t27R9mmpKREvH//nvz/rVu3CA0NDco+EyZMIN69e0c73rt374gJEyYwnt+UKVOI2NhYnufPhPfv3xMpKSnEzZs3ibKyMnJ7Q0MDZb8FCxYQiYmJtPdfu3aNdu7caGxsJK5fv05YW1sTioqKxOzZs4mJEycS2trahKGhIaGgoEBMmTKFsLOzI+7du0c0NTXxff4tLS3E9+/fyf+/efOG+PbtG/n/KVOmEP7+/sTDhw8JOTk54saNG8SjR48Y/7iRl5dHWFlZEdra2oSOjg6xe/duorCwkOe5tLa2EmlpacSJEyeIsLAwIj09nWhubua5f1paGrFu3TpCSUmJUFBQIJYvX06kpKSQr8vJyRFVVVWU93DfO/yioaGBOH/+PDFp0iRCXl5e4Pe3d9ySkhKiqamJaGxs7HD/6upqIiIigli2bBkhJydHTJkyhbbPlClTGO99Jujq6hIxMTEEQVCvTWBgIKGrq8v4ntjYWNr9TRAE8fDhQ8LOzo623cjIiBg/fjwxZswYQl1dnZgzZw7ljxsBAQHEz58/+Tp/giCI8vJyxr+Kigriy5cvREtLC2X/e/futXvfcCI/P5/Q0dEhxo4dS8jLy9P+uLFt2zbi9evXPM+1oqKCMDQ0JAwMDAg5OTli9erVhIGBAflnaGhIbN68mbh79y7j+1tbW4mwsDDizp07BEEQREhICKGsrExoaWkRL168IAiCet/Lycnx/GM6/ylTppDHXrx4Mfm87tu3j9izZw+hpqZGXL9+nfKe169fE0lJSURiYmK7352Njx8/EkeOHCHMzMyITZs2EV5eXpSxk42Ghgbi4MGDxIQJEwh5eXlCTk6OUFJSIgIDA4nW1tYOP6c9+Pj4EAYGBpTxobq6mjA2Nib8/f2JxsZGws7OjjAzMyNfV1BQYBw73r9/TygoKNC2b9myhdi7dy/R2tpKPltNTU2ElZUVYWBgIND55ubmkv9WVlYmz8PBwYE4efIkQRBtz4GysjLlfS4uLsS4ceMIe3t74sCBA8TEiROJoKAgoqWlhXB2dibk5OSI+fPn08bvGzduEC4uLsSCBQuIcePGEWvXriX8/f2J7OxsxvmFe6ytqKggli5dSixYsIDxPhs3bhw5Rm3cuJG4ceMGQRAEkZ6eTmhpadH2t7CwIKysrIiWlhbyWn779o0wMDAgduzYwdc15MSXL1+ImTNnEnPnziUqKioIgmgb/1xdXYmAgADC3t6ekJeXJ7Kzs2nv/fbtG3H79m3yHlJSUiKmTJlCbN++nefnNTQ0EFevXiXWrl1LyMvLE2PGjKGc9+TJk4mSkpJ2z/ndu3fE5MmTadsdHByInTt3UsbkxsZGwtramnB2diYIgiC8vb3Je27ChAlEQUFBu5/Fic2bNxOrV68m3r59S24rKioili1bRuzevZu2/+3btwkDAwNi4sSJhIqKCmFgYEDGcI8ePSJ8fX0Z57rfv38TBEEQP3/+JK5fv048ffqU73O8cuUKoampSds+YcIExrGFX7S2thLPnz8nPn36RBBE2xhx4sQJYv78+YScnBwxbdo0wtXVlcjNzSXGjh3LGMNy4sOHD7Q/9rGZoKGhQWzdupW4e/cu8fDhQ9ofN8rLy4lDhw4RpqamxKZNmwhvb2/iw4cP7R4/Pj6etj0+Pp6YN29eu9+lI3DPuwRBEF+/fm03pmNCeXk5MX78eIIgCMLV1ZUYN24cOV5wftaRI0eIsWPHEosXL2a8v2trawljY2Ny7mPPKbt27WKMZzjnZQMDA2Lt2rXE9OnTCUVFRWLv3r2UfSdPnkwUFxcTBEGNo54+fUqoqKiQ+8nLy9NiUgMDA+Ljx4/k/798+cI4ZnKeN+ffmDFjyBiOEwsXLiTOnTtHEARBHD58mFiyZAlBEG3xD+eaw8rKihwnOBEQEEBYWFjQtrO/Fy+wP5MTc+fOpa3jCIIgMjMzyfssLy+PmD59OqGhoUGLMQiibZ03Y8YMxs/U1tZmXF9dv36dWLp0KUEQBJGVlUXMnj2bIIi28SskJIRYt24dMXbsWGLOnDnEwYMHiQcPHtDuWyUlJXKu4vxtec372traxNmzZ2nbIyIiyHNpDzU1NURYWBihrKzMeB+EhoYSSkpKhKWlJXHkyBEiICCA8scPiouLGWN1HR0dcg3M+V0vXrxIzJ8/n/FYr1+/JlRVVQkdHR1i3LhxhLGxMTF79mxi0qRJjOs9JSUloqioiLa9sLCQmDRpEl/n/5+Mv4y4v6Bh9erV6NGjB86dO4fr16+DxWJhzJgxCAoKoll69+vXD4cPH0ZycjKGDRtGo/h6eHhg1apVWLVqFUpKSnDp0iUkJCQgPj4eLBYL4eHhMDU1pbDvKisraVRVVVVVigC9nJwcrRLOj0smNxobGylC9vxg6NChlMoEL6bMmjVr4OzsjJqaGkazACbk5eXh6tWrSElJQUNDA+bOnYvjx49DTU0N9fX1cHBwQHJyMsnqKC8vx4kTJ3hWG5nciBobG8lrWVJSgrt372LixInkORoZGcHf3x/Hjh1jbOVgg0m8duLEiZg4cSLj/tyoqamBiYkJnj9/jp49e4IgCNItNCwsjJGFN3PmTEaW4b8Snz9/phhfyMjIdKh/xC/YLQtNTU0kI6tbt25wcnLiyfrp2bMnZGRkYGFhgd69ezPqOm3atAkODg4wMTFhNGvQ1NRERkYGpKSkOsUQ49Y2YkNJSYmRfTlp0iTa89Aetm/fjl+/fuHp06eMLeLcz2hHbQnCwsJQVFSErq4uOSaxW1PZYt+82ms8PDwgLCyMffv2wcPDA3Z2dnj//j0iIyMZNZkePHhAY7hxQlpamnwODQ0NERgYyJe4MRssFovS9mVmZgYzMzPKPpxtd4K24NXX15PMupEjR6KoqAjy8vIwMDCAmZkZpk6dih07dmDZsmXYv38/xMXFaa217eHSpUtYvHgxLCwsOtzXy8sLqamp2L9/P9nCkJOTg8DAQLS0tDA6TvKLS5cu0fSCJCQksGfPHmzcuBE7duyAiYkJqQUHtP122dnZtEr048eP0a9fP9pn8MuS4IW6ujpcvXoV0dHRePXqFTm+sjWBrKysMHr0aKSlpcHExASvX7+mjRu3b9+Gg4MD+T1mz56NgwcPorKyEpcuXYKJiQl27dpFMyCYO3cuWbmvrKxEVlYW7t+/j5MnT0JISIjWAj5o0CAKy0NaWhrnz5+HhYUF3r59S/tu3bt3J1uf2bpg7Hao8vJy2v52dnZYv3491NXV0dDQAHNzc5SXl6NPnz6dasXml2kfExMDSUlJPH78GHl5ecjLy8Pbt2/RpUsXKCsrY8aMGbC1tSX1iLjBrylVc3MzLV5iAtNnsF3nOX9DUVFRbN68GWvXroWjoyNWrFiB8+fPA+BPKoATDx48wPnz5ylxmZycHJycnBgZEhoaGtDQ0GA8FttFlgm1tbWk4yRbT7SioqJd3aCXL1/CysoKJSUlsLW1pb0+adIkPH78WCBjkIaGBiQkJJBtuKNHjybdJmfNmgUpKSloaGiQkg78ykAAdE20pqYmFBUVoUePHoz6WoK0odXU1GDQoEHYs2cP7bXLly+T2mec+Pr1KyMbSlFRkaLjB7R1wYSFhVGuy9atWxnb7YC2+ExXVxe6urpkKz4/JkDc+Pz5M9kpwW4ntLS0RGBgIGbNmoXKykpYWVnhyZMn0NfXx549exjnYDaDqbS0FC9fviTXMryuLRP7iiAIuLq60n4rdXV1hISEUFiNNTU18Pb2prQZcscyQJteMC+dPU4wtfGKiopCUVGR8Tt8+PCBNDPKzMwkY2VZWVmK3qGUlBQuXLiA3NxcTJkyBSIiIigoKEBOTg40NTUpTCf2OTC1pQNt6wmmTowvX74wPscDBgwg2dgDBgxAbW0tjI2N4eTkhJqaGvLezM/Px5EjR3jGnu/evaO1wwJtTOLS0lIAbR0mbL1wOTk5yMnJwczMDD9+/EB6ejppQNizZ0+K8V/Pnj3x+fNn2lry9evXjLHb+/fvaWtjoG1cZDsXM6GhoQG3bt1CfHw8MjMzIS0tTTJSOXHhwgVISEjgyZMnePLkCeW19tZonPj06RPi4uJo91RpaSnj86yqqgoXFxfGY8nKyiI+Ph4XLlxA//790draikWLFvE0eOjRowejJALTtv9G/E3E/QUjtLW1+bIbzs/PJxe03K0u3JCVlYWtrS2sra1x9+5dXLlyBXFxcYiNjcW0adNIWqy4uDipfcQGt/ZDbW0tbUDsTOJrxowZSEtLg76+fofftaCgAPv376eITXOisLAQixYtwsqVK7Fs2TK+zAI4MW/ePHz48AFjx47Frl27sGTJEkobSY8ePbBo0SLcvHmT0Z6aH2RnZ2Pbtm04evQoZGVlsXLlSggJCZHupIsWLYK5uTkMDQ3x/ft3aGpq4uLFi3wHUwkJCVBRUcHAgQMRFBSEpKQkKCsrw8HBgRYoeXl54ffv34iLiyMn8qKiIuzZsweHDx8mhZ4BkPcDOxh69+4dYmJiyDZAXu09/OLTp09ITU1FSkoKSQFftGgR9u3bx1e7Jz84c+YMrl69igMHDpAT3Ny5c+Hs7Iy+ffvC0tIS58+fJ7XQVq1aBS0tLejr65NW6wMGDGC0uffz80NLSwuys7MpCzfi/29n4QwGNTQ04O/vj5CQEAgLC+PUqVMYNWoUjhw5ggULFjCe+/Pnz7Fv3752731OCNp+d+vWLdjZ2aGuro4WuDIlfDtqSwgICEBOTg5ycnJ4Jux69+6N4OBgWuL4xYsXiIiIgIKCAmJjYzF69GisW7cOAwcORExMDE17UVdXFz4+Pti2bRtkZGTadVhkB/oVFRUoKSmBiooK6uvrO9SlefHiBcLDwykLIlNTU8YWY0ExYMAAlJeXQ1paGsOHDyfvtW7duuH79+/w9fXFkiVL4OTkhCVLlsDd3Z2n4yYT3N3dcfDgQcyfPx+6urrtaqEkJibCy8uLEtSOGTMG/fv3h6ur6x8l4pqbmxkDv4aGBlK7S0xMjHJ/r127Fq6urnj//j1lgRAREcGon8JPOyUTCgoKEBUVhcTERPz69QtDhw6lmCPs2LEDmzZtQp8+faCrq4tjx45BS0sLlZWVtJatqqoqinP1jBkzUF5ejhs3biAsLKxDnaJPnz7h/v37yMrKQlZWFoSEhMi2QU4wtYr36NEDISEhtAU90KZnFRoaCkdHR1Kr1MzMDLm5uYwJiQEDBiAuLg7Xrl0j3dzWrl2LZcuWdSgjwYS7d+9i//797SbN9fX14ebmhsWLF0NYWBjjx4/H/PnzScdlXs92S0uLwKZU//zzDzIyMrBu3Tqe55ORkcGonyOocRQ/UgGc6NWrF+OzwmKxGOVFcnJyeOrsMs0FeXl5sLe3x/v37ynbCYb2S25ISUlh5syZsLOzI+9zznb8CRMmwMnJCa9evYKMjAztueNuKysqKsKmTZtQX1+PESNGoKWlBWfOnEFQUBBOnDgBSUlJ1NTU4MOHD3j58iVGjhwpkIlAZWUlHBwcYGFhgdGjR2PFihXkgj48PJwWuwjShmZkZISzZ89S4sRPnz7BwcEBmZmZjIm44cOHIysrizZ3ZGZmUpKGkZGRcHd3J53hW1pakJubi/Xr1+Pw4cOMGsTbt28XWOOYG2yNO855Yt++fWCxWNi5cyc2bdqEs2fPomvXrjh58iTj2MSNjx8/4tOnTxATE8OXL1/4urZssAthq1evpugf8yoU9O7d+480W7k/my05wYmfP38iPDycpssoJSWFz58/Q0REBIWFhWR7b1FREYWMUFhYSK7bOAt3kydPxvfv3xklSvhZ/3Bi/PjxOHnyJNzc3MhnsKWlBSdPniRj6kePHmHIkCHYtm0bvn37BhcXF1K3UEREBIaGhti8eTPjtfnnn39w+fJlmib15cuXyQJCYWEh5VklCAIFBQV48OABHj58iNzcXIiKitJMxdhxjru7O1gsFurr63Hv3j24uroytkgLWrBLT0/HtWvXcPPmTRAEgYULFyIsLIxngvtPJHE6Qt++fVFaWsp47rzkfMrLyzF48GDs2rWL9lpaWhotKTl16lQcOnQI/v7+ZDtwdXU1vL29BYol/1PxNxH3F4woKCjAqVOnSIeTf/75Bxs2bKBVRXj177cHYWFhsk+/uroaV69epQix//PPP0hPT2+XcZGWlkarhrSX+GK7Q3JDSUkJ3t7euH//PmRlZWlVY84gkh+mzKRJk3D8+HH4+vpi9uzZWLlyZbtmAZyYM2cO9PT0eDpRAm3mBffu3WNMjDU1NSErKwsEQUBNTY1xweHr6wtNTU1MmDABMTExEBcXx40bN3D58mWEhISQwZW4uDjExcVx5swZjBkzhq/KfVBQEIKDgxEeHo7y8nL4+/tj5cqVePjwIXx8fGiue3fu3IG/vz8l0SUvL499+/bBysoKzs7OqKurw759+0hm5sKFC7Ft2zasXr0aLS0taG1tRUREBIKDgzFjxgwAgrnohYeHIzU1FU+fPsWgQYOwaNEiODg48O32KQiio6Ph6OiIefPmkTocixcvhqioKDw8PNCrVy8EBgZiyZIl6NatG44ePYrY2Fi0trYiMjISra2t8PDwwJEjR2guT2FhYe1+NnciWlBmobu7u0AsMYD/MQRoYwqqqalh69atfGkYhYWF4cCBA5SgSF5eHv369UNgYCCKiopw//597N27l9HRli327eHhQRP7bm1tJYMnGRkZvHz5EpMnT4ampiajlkVaWhrev39PE79ngzNAbWpqgo2NDZKTkyEkJITU1FR4eXmhvr4eAQEBjGNDSkoKLC0toaSkBFVVVbS0tCAvLw/a2toIDQ3F1KlTO2QIcoLbEGH+/Pmwt7eHp6cnpk2bBktLSygqKuLmzZtkQKuhoQEVFRUcPnyYNAzgxULgRlZWFm7cuIFr166RWihsZ2ju4K+pqYmxoiorK0srzggKdXV1ODs7w9fXl/xepaWlcHNzg7q6OlpaWnDhwgXK+LthwwY0NjbizJkzZDGof//+sLS0pOjGcX4GPywJAPj16xeuXbuGqKgovHjxgtzu7OyMVatWUX7PyZMnIzU1FY2NjZCQkEBkZCSioqIgLS1NY+s2NTVRNDKFhYXRpUsXODg4tJuEO3jwILKysvDmzRv0798fGhoa8PT0hJqaGmMCqiM9Je4EjJWVFYyNjREZGYm1a9ciODgYU6ZMwa9fvxhZVkBbMpjbZKWzEIRpHxQUhClTpvCdQOiMKZWuri4CAwMxffp0mh4v0MZWDwwMZGR9CWoclZWVhZycHEyZMgVSUlK035N7TNixYwccHR3h4+NDXrOysjK4urrSYqljx44hICAAvXr1ol0vXmwNNzc39OvXDzY2NnyN95yQkpKCjY0NZRvTNWZr9XKfD3ci7uDBgxg/fjy8vb3Jc6muriZ1V+/cuYOsrCxcvnwZhw8fhpeXFyZOnMhTs4wbHh4eqK2thaSkJJKTk1FeXk4W3Ly9vUnDIjYmT56MAwcO4O7du4xdJpzXs1u3bjAyMkJERATExcVx8eJFeHl5QVJSknZcNjZu3AhHR0eUlZVRCtaRkZGU63r69GnY29tTxjkjIyOEhobC39+fMRG3Zs0arFmzBqWlpYiLi0NISAg8PDygqamJ5cuXY9q0aTyNRgiCwI8fP5Cfnw+CIBAdHU153cHBASwWC8eOHcOkSZMQFBTUIbOcSeuQ/Zxyax22h3fv3tEYbOxCQWJiIl68eAGCILBu3TosXbq0U4UCNqqrq8nCkL29PUaNGkXTUX7x4gV8fX1piTgtLS1YW1ujW7duGDhwIKZMmYKkpCS4urpSNLI7s24TtFPAzs4ORkZGePjwIcaPH4/W1la8ePECP378wMmTJ5GXl4d9+/Zh3759EBERgZOTE/bs2YPS0lKIiIiAxWIhJiYGc+bMIXU1OWFlZYUtW7YgOzubok1ZUFCAwMBAFBYWwtbWltTd27JlC3Jzc/H792+MGzcOqqqqMDU1ZSywWFhY4OPHj+RYoaurS2rhchpKsCFowc7MzAwqKirYv38/RUu0I1RVVTEyKf/EeXT16tVwcXEhn8s3b94gIyMDfn5+2LBhA+N7dHR0aAZdv3//hru7Oy5evEhLyrK1LDU0NEgDvLdv36JPnz6kU+9/M1gEE2/2L/6r8ejRIxgbG2P06NGYPHkyWltbkZeXh5cvXyIiIoLWclZfX4/4+HiKLfHixYs7PRnFxsbCy8sLERERjGyk4uJi6Ovr4+DBg4wMHrYtO9B+4gsASeNmAovFogSoEydOJJkyK1euhK2tLSZPnozw8HCkpaWRyZDGxkbcuHEDcXFxyMrKQt++faGrq4vly5fzVYlji2yKiopi5MiRJMWfE0zMKQMDA7K6NWDAAERERNACfEVFRVy7dg1Dhw6FsbExhgwZAhcXF5SXl2PRokV49uwZZX9BXGU1NTVhbW2NRYsWwd3dHc+ePUNUVBRycnJgaWlJCtazMXnyZMTExNC+X0lJCfT09PD06VMcOHCAZPF16dIFYWFhePPmDVRUVEgH37179+LTp084e/Ys5OXlsXjxYkqCICEhAXPmzKGxLjw8PCAvLw9RUVFMmzaNXLTwQmdE1jmhqKiIxMREDBkyBBMnTkR8fDyGDh2KsrIyLF68GIMGDcKuXbvIye3Zs2dYtWoVgoODMXv2bABtzINdu3YhMzOT5+c0NjbSAgt2gpOfZ5J7oQLwf++zIegYMmHCBCQmJvLN8FJQUEB8fDzN1fbt27dYunQpnj17hsrKSixYsIB2T7Px4cMHaGtr06j+S5cuhZmZGbS1tREUFISysjJ4eHjgxYsXMDQ0RG5uLmX/9lwvAWpb79GjR5GSkgInJyds2bIF8fHxqKiogL29PWbOnMnoWLt48WIsWLCAVn10d3dHTk4OYmNjERAQQCZuampqcP78eWhoaGDixIkQERFBfn4+2YbBHUg2NjbC29sbCgoKWLJkCRwdHRETE4OePXvC39+fVrHMzMzE5s2byTZDTrTHZAHaFhnJyclITEzE06dPMXHiRIqouJubG6qrq+Hp6Um5h+3t7SEiIsJTSJofVFdXY/PmzSgoKECvXr1AEARqa2uhqKgIf39/vHjxApaWlggJCcGUKVNo7//27RtERUXbfYY+ffqE9evXo7a2FjU1NRg5ciTZTsk2piguLkZUVBQSEhLIVnxtbW0sWrQImpqaPF2m+YW8vDwyMzMpLMuJEyfi6tWr7T5fbBfnOXPmMLb8cIN77mxpacHXr18hIiICZWVlxkTA79+/8evXL0hISKCqqgrXrl2DtLQ04zz+5csX+Pn58Zx7BHXYVVNTw7lz59ot8LHZURkZGQIdW1FREVJSUpg1axamT5+OmTNnkvfvuHHjGH/T1tZWbNmyBXl5edDT04OysjL69OmDuro6ZGdn4+LFi5g1axajXMDv379hY2NDFqiA/2Mc5eLiggcPHsDFxQWhoaGQl5fnK2kqLy/PyKbu0aMHhIWF8ePHD7BYLEhKSlKuj7q6ervMFSZMmDABcXFxfLe384ufP3+ia9eulNbR169fY8iQITS5BjbYzGfu36ewsBBr166lzA8/fvxAQkICYmNjSZMOdXV1mJiY8GR2TJkyBRERERgzZgwsLCxAEASOHj2K0tJS6Onp0Vq+BYlJf/78ic2bN+PXr1/o1asXHj16hI0bN2L79u3tFknCw8Nx8uRJsl2xb9++2LRpEyWxo6CggISEBFoMWVpaimXLlvGcVznR1NSEsLAwBAUFoaGhAdLS0hAWFmZ0oxUVFUWvXr0wbtw4LF++nGcXhqenJ6Kjo3HixAmeDCI2tmzZgpqaGnh5eZHfo7i4GLa2tvjnn3/IGJINpiRhfX09MjMzoampiUOHDtEMX7S1tfHr1y9yf27DF17jMTv+A9oSLDNmzEBhYSHi4uJgZ2dHdjIwFdgIgsCsWbNohUF20basrAz6+vqQkZHB2bNnUV1dDT09vXZZ2ZxgSuwIGgMC/8dU78WLFxAREYG8vDzWrVsHSUlJlJSU4OPHjxRGY2NjI9l2//jxY7BYLMydOxf+/v6M51lYWIjw8HDK8Y2NjTFq1Cjk5+ejsLCQlIRQVVXFjx8/MGvWLGhoaEBNTa3DePPdu3ckG3v06NHtzssnTpzAmTNnSMmk/v37w8zMjLFg9+HDB4Fa59PS0mBvb08zIOKHQcxGeno6zMzMGPf19fVFREQEGhoaAIAksOzdu5exDd/X1xcnT56Erq4u9u/fj+LiYtjY2KC+vp5MLnKjvr4eV69eJQ3N5OTksGTJkj9KWv+n4C8j7i9oOHLkCJYvX05pDQTaKvV+fn6UakpFRQUMDAzw9etXjBgxAq2trYiJiUFwcDDOnz/P0/69Pejp6eHmzZtYsWIFdHR0oKamRrYHPHr0CHFxcdDQ0KA87HV1dRAREUHXrl0hLi5OYd18/vwZzs7OjM6dglB++WXKsG2ztbS0UFVVhatXr+Lq1asIDQ2FiooKVqxYgQULFtCSJQ0NDdi9ezdu3rxJbmOxWNDQ0ICfnx+5/6lTpxiZUy0tLRTmlK+vL4051a1bNzQ2NqKhoQG5ubkk26CqqoqxMi2Iq+znz5/JNr+srCwsXLgQQBtt+8ePH7T9x40bhwsXLtCYchcuXCDbNW7duoUjR46Q7Yfjx48nnSPZ18PMzIxsLRbURY8dcLx69QqvXr3i+d341WFoD4MHD0Z+fj5tAr537x6ZkOPUblFQUICIiAglWJCRkWF0BwPartuJEyfw8eNHpKam4uTJkxgwYABZkXNzc+vwHJkYA4DgLDFBxhCgrV3m48ePfCfiOtOWwI2cnBxG7UhDQ0PynlywYAGWLVuGrl27Ii8vj1FXbuDAgXzT6xMTE0mdITZUVVVx8OBB2NjYMCbiysrKGH+TtWvXIioqCkAbg4UNc3NzWFpawtTUlLL/2bNnKWMLG2JiYpRn0MXFBVZWVhAXF6exMWJiYuDr64t+/frB1NSU70ouG+Li4ujXrx+kpaVRWFiIL1++UNia7PannJwcjB8/HsLCwnjx4gU+fvzI6KwpCCQlJRETE4OHDx+isLAQwsLCkJeXJ5NuoqKiuHfvHm0c/PXrF16+fMmXdiE/7ZTLli3DiBEjYG5ujnnz5vG853nJKTCBWwuUafHWEWOSXdipqKhAenp6h23TTHNnXV0d9u7dSzJt+P0O58+fR0REBGXb/v37UVBQAC0tLYFZU0zoLNOeH2RmZiIpKQmXL1/GhQsX0KNHD2hqamLx4sU8r7uQkBDJIj937hzlN+zXrx+2bdvGkynYtWtX+Pv7o6ysjFyEysnJkXPLzJkzce/ePXJ/fuYudhuWoKitreVLxoQT0tLSf8xw5UZiYiLc3Nxw4sQJiuOvh4cHCgoK4Obmhnnz5tHeN2DAAHz+/Jm2yP7+/TskJCQwZswYUl+1V69e0NfXh76+PoqKihAbG4uEhARs3LgRsrKyjPqtTU1N6N27NwiCwP3790l36dbWVsZOA87nqrq6GtnZ2ejbty+j5mr37t1x4sQJbNmyBQ8ePMCZM2c6TE4Bbcw2IyMjUp9PSkoK2dnZ0NTUJBN9qqqqSE1NpemRsjWF28PTp08RFxeHpKQkNDY2Yt68edDT00NlZSUCAgLQr18/+Pr6dnieAJ15Ky4ujp49e8LMzAwbNmygJJe473NBtQ4/fPhA2yYmJgYjIyNs3LgRVVVVWL58OcTExKCvrw9paWmUl5dj+fLl6NOnDyoqKnDp0iXo6OiQvxeLxRLoudLR0cHgwYPR2tqKDRs2wN/fn8L8Y7FY6N69O6lhyAkhISEaQ5r9f+5EOxPaS+wIGgMCbc8WLzkJTp1ZfnU1uTFmzBiaszEbEyZMoBTXHzx4gOfPnyMrKwtJSUk4ePAg+vbti6lTp0JNTY1R7kdGRoaRrcyNnJwcGBkZwdTUlGfBLjAwECYmJujWrVuHzvbc9/HBgwehoKCAdevWMRYUsrOzOzxHtuQI0DYvL1iwgFw3WVlZwdzcHK9fvwZBEBg5ciT53DIVvKysrDBz5kzY2tpi0aJF+PLlC7S1tWFvb8+TpdqjR492ZRj+m/E3EfcXNLx48YJx0W5gYEChNwNt1Sm2dhJ7UVtVVQULCwt4e3u3K1TZHo4dO4awsDCcO3cOly5dIrf369cP5ubm5CKzuroa9vb2uHfvHlgsFubPnw9PT09ysIqOjoaPj8+/RBRSRkYGubm50NbWxsiRI5Gfnw+gLRDlJbzat29fmJiYwMTEBIWFhUhMTERAQADc3Nzw8OFDyr5HjhzBs2fPcOzYMYqtvJubG2mnDbQthg8ePEgyp7S0tEjmFHsBZG9vz9i/r6qqCm9vb/Tu3RtCQkJkFc7NzY2xbSkhIQHu7u48BVM5MXDgQJSWlqKhoQGvX78mK105OTmMCVkLCwusX78eT548obRIFBUVkXqB1dXVlIl44MCB6NKlCyWBIikpSQb1glLu/53aC9wwMTGBs7Mzvnz5Qgbl0dHROHv2LOzs7ODs7EybZEVFRSnt0iwWi1Gfg8mCXFZWlrQgB0CrygoCQe99QcYQoI267urqCktLS4wcOZKWpOau0AralsCJjsS+V65cCQkJCfTp0weysrLw8PDAiRMnIC0tjf3799P2NzY2hrS0NE/reU58+vSJMfEiLS3NqMsCtCWsHz16RAsInz59ylihvX//PmOr1syZM2kMADbKysrw/PlzsiWGEzo6Onjz5g3279+P3NxcrFq1Cra2toy6Xrzw4MEDJCQk4Pr166SwL5vRwM1C4L4+TOy0zoLFYmHq1Km0NtGPHz8yjlGCahcC1HZKtjA75wJISUkJT548QWxsLD59+oSFCxeS4x8nHj16BCEhIUyaNEmg6jnQlnTnZMQ0NTXB29ubkRXMuY+gbdPcEBcXx86dO2FsbAwjIyOaUD3Am6HMjQcPHuDkyZN8JRb4ga6uLry8vDB16lSeTPsTJ07g4MGDAh9bXFxcYFMqoI15sH37dmzbtg2lpaVk8mfYsGF8GQJwG0exwdRK3JFUgJ6ensDfG2jT/nv8+DHjb80L5ubmcHd3h7OzM0aOHCmQkQQTHj58iD179kBHR4dWfNm7dy9OnjwJCwsLnD17FsrKyqioqCBfX79+Pfbt2wdHR0coKytDSEgIz58/x4EDB7Br1y6ercXy8vLYu3cvbGxscPv2bYq8CifYeoj9+vUjGTmNjY04ceIE5T48duwYzpw5g5iYGMjIyODx48cwNTUlY5upU6fi+PHj5PzOiQkTJiAvL4+mr9lRApaTdfb792+Ul5eTiS9paWn4+fmhoKAAysrKEBYWxvPnz3Ht2jWYmJgwHi8oKAhXr17F+/fvMX78eFhaWkJbW5sydoiKisLR0bHd8+IE03UVERFBnz59cPXqVXIbU7FUUK1DzviRSerF39+fL8OX6OhoMhFHEAS2bdtGuccbGhpgbW1NHoP7HNkFnjNnzkBZWbldaRh7e3s4ODhAXFycZ9sv0Mbc5E6qCgJBY8D2zgVom6ME1dXkxq1bt/Dy5UsKO59tnsfN0GOxWBg/fjzGjx8PMzMzfP36FcHBwYiOjsaVK1coibiOkpbc8/6OHTtw8uRJjBs3jtZGzEZsbCz09fXRrVs3nmMF+zy57+PPnz8jODiYsTuK83w7anBkf6dHjx4hOzsbubm5cHNzQ/fu3dGtWzdK4rKqqooyTnJjwIABGDJkCHJzc0EQBIYMGUKZ0zU1NXHp0iVISEh0KJ0iKLv9Pw1/E3F/QYOEhAQje6i6upoW4GVlZeH06dOUxEjfvn1hY2NDY2QIAhaLBWNjYxgbG6OsrAxfv36FhIQEhg4dSglQPT09kZeXh+3bt0NMTAxnzpzB0aNHsXPnTlhaWuLu3buYPHkyTzaQIAOuoEwZTrS2tuLLly+oqqrC9+/fKRo+bFy7dg2urq4U97G5c+dCWFgYzs7OZCKuoqKi08ypAwcO4MCBAyguLoa3tzfExcVx9epViImJMU6cgrjKrlmzBhYWFhATE4OcnBwmTpxI6kcwVcXYr4eFhSEjI4OkKzs6OpKLg9bWVlqQLiQkRKPY/7/QYb98+XI0Nzfj+PHj+P37NxwdHSEpKQlLS0usXbuWxh4TBKdPn4aDgwN0dXXJlrD169eTFfPOMB04YWhoiL179wKg3/tMDmyCjCEAsHXrVrS0tGDr1q2M7VHcgY+6ujouXbqE8PBwZGRkkG0Jrq6uZFvCnj17GJ0qmcS+ucF2jwTahHuXLFmChoYG0oGLEzdv3kRCQgKuXbuG48ePQ1lZGbq6uli0aBEt2SArK4v79+/TdK8SExMpSTXOiqmKigrc3Nzw5s0bTJo0iVwohoWFYdu2bbTz6d+/P+7fv09b9N+8eZNxsRwbG4t9+/YxJnhZLBYqKioQEhICKSkphIWFCSyuO2PGDFRVVUFFRQUODg40TRQmZ7h/B8rKyuDl5UUJ3AmCQGNjI6qrqyk6bWwIql3IJMxeUlKCXr16kcLsUVFRePv2LS5duoT4+HicPXsWAwcOJBnE7Puf7Uaenp6OxsZGLF68GIsWLeIpoMyGoKxgNoKCglBUVISIiAhSB8zQ0BD29vbw8fFhZGsyoba2FrW1tQCYf9uUlBTs2bOnw0VW9+7dO104YEJnmPYdgal1jF9TKk6wWCyeiywmCLpQ5JQKmD59OikVsG7dOkapAEH0/7S1teHq6oqCggLGIgoTm/f48eOoqKhgfI3p/DtCaGgoDAwMyDmKE+xiCvtzT5w4QVkYsmOHLVu20OaejpIJQFtSaP78+Zg/fz7j67a2ttiyZQu+ffsGU1NTDBw4EE5OTrh16xZ5L0RHRyM4OBhGRkbkPW9vb4+uXbsiKioKPXv2xI4dOxAaGsqTTdO3b198/fqVXOR3hsVPEAQlSTBw4EAUFBSgoKCA3Na/f39cvHiRUSvr3LlzWLp0KZYvX85oMgK0/R5MLq+88CfFUn61DvmRegkPDxfI8IUNpiI20zzMLbMBtBWhOjJA+/DhAzl3MzH6uI/XHp4/f46oqCjG/QSNAbnPpaWlBe/fv0ddXR20tLQ6pavJCR8fH5w8eZK87wcMGICqqiq0tLRAS0uLtj9BEMjPz0dmZiaysrLw5MkT9O7dG0uXLqU5PnOzg5ubm/H27VvExcXR9CmBtoQ2e87jBc77mNc9/fPnT/j5+dG2T506Fc+fP+c5R3QmkbVv3z54e3tj5cqV8Pf3F0gmIDw8HEePHsU///yDhIQEFBcX48CBA7h58ybc3d0xduxY6OrqkiSAzhZ5/lvwVyPuL2hwdnZGXl4efH19yYfz9evX2L17N8aOHUsJrlVVVXHu3DnapFtcXIw1a9bQ9C/+1VBXV4ednR3ZGpGXlwcLCwtMmDABWVlZ2LNnT7t02NjY2HYH3GXLllH2v3nzJvr06YPJkycjISGBwpRhYi08ffoUCQkJSE5ORm1tLTQ0NLBixQqoq6vTAumJEyciLi6OtoDm1L0CBNec6AhMmmJs7Ny5E6qqqny5ygJtBgzv37/H0qVLISEhgYSEBDQ0NDCyoNoDm6EyZswYZGZmUiq3f/Jd/7eAuyXEzs4O5eXlJHWdjZCQEKxZs4YMUH7+/ImwsDDad1VSUkJCQgKGDh1K05/T0tJCY2PjHzHiAOq9f+3aNYSGhmLQoEHYv38/LbAUZAwBwCjGywnuwNDNzQ3r16//l7iG8ov2NDbYePHiBRISEpCSkoKamhrMnz+f0jpx584dWFpaYvXq1bhw4QI2bdqE0tJSpKamUlxr+XXqZUpSRkdHw9XVFVpaWpgwYQK56L5x4wbpjMyJuXPnYsaMGbC0tESvXr1onzFmzBisWbMGe/bsYSwgdITAwEDo6uryxZjpqMWC36IAE0xNTfH27VvSoczY2BilpaW4ceMGXFxcGJO2gmoX7ty5E5WVlThy5Aiys7Ph4uKCU6dOITY2FhUVFTTdtNbWVty7dw+xsbG4c+cOmpqaMHr0aBgaGmLp0qXo0qUL6urqcOvWLSQlJeHBgwdQVFSEtrY25s+fz7fYOD+YP38+nJycSIdQ9hhy//592NjY0DQ+mZI19fX1SEpKwpgxY2hO52xwj9+84OXlhR8/fsDFxYVvbaOOQBAEybTnrPb369cPhoaGMDU1pc3LmpqauHz5Mu1af/r0CUuXLqUx25nAaUqVkJDwx99D0Lhl7dq1GD16NKNUwOvXr2lMckH0/9obq3ixRgXR1eQHampqiIiIYGzXYyM/Px9btmxBZmZmh/MNJ9iMuc7qqwJtz3ldXR05vpaWlpKsawBYsWIFdHV1yTgrPz8fK1euhKWlJam9d+fOHXh6evI0BaqurkZOTg6kpKQY21g7Aj/z26tXr0h9S6ZryG75/L85L3NDUK1DbqkXtobyz58/4eTkREq9DBkyBLdv38aNGzco7OktW7bA1dWVbNssLy/HwoULScbYn4DTAI0gCOjr62PlypV49OgRZs6cCQcHBxw6dAjbt2/v1NwMtDEhExISEB0djefPn6NLly403Vw2BIkBmUAQBFxdXdGjRw+cOXNGYF1NTsyaNQsmJiZYv349Zs2ahQsXLqB79+7Ytm0bpkyZQusImjJlCmprazFq1ChoaGhAU1OT0TisPSQnJ+PixYu0edzLywvnz5/HrFmzICMjQ0vUbt++HQ0NDfDy8kJiYiJERUWxbNky7N69mySWZGRk4MCBA6isrKQVBT9+/IgVK1Zg2rRpGDp0KG2OEjThzl5Dfvr0Cbt27UJVVRXc3NwoCcz21lXjxo3D5s2bsW3bNnJu/vz5M/bu3YsHDx5QEvdAW1ynpKREI1U0NDTg7t27AhW//hPxlxH3FzRYWFhg48aN0NbWJlkAtbW1kJeXp1UDlJWVERQUhEOHDpEPGdt+nKnd5l+Nmpoail6FsrIyvn79isLCQly6dKnDLD+vTP348eNx8eJFSkCbkJCA2bNnk9eEzZThRmlpKcmQKSsrw6hRo2BmZkYmp3hh9OjRSElJoYkeJycnY8SIEe1+j/YQFxdHWqB3pE3AHUgK4iq7fft2WFpaUqpLTNensrISt27dgoiICDQ1NWn23ufOncORI0dIyrOgtP7/F8DdElJRUYFBgwYhOTmZsl+/fv1o1S5paWna8TqyIFdRUeHL4ZITvFgRDx48AACSAXDlyhVaIMA0hvz48QNjxoxhrChyJtraSwyzceXKFZpj2P8GjB07lnRrPn/+PO2309DQQEBAAIKDgyEsLIxTp05h1KhRlCQcALIS3xmsXr0aPXr0wLlz50gx9zFjxiAoKIhmKw+0JRSMjY0Zk3BAW/WzPbdNJnBrg7W38OXUxjI0NKS1WLA1doSEhGgBniDIy8tDUFAQVFVVkZ6ejrlz50JBQQFHjhxBWloaYyJOUO3CBw8eICIiAkOGDIGPjw9mzpwJZWVlSEhIMM41QkJCmD17NmbPno1v374hPj4eV65cwf79++Hj44OHDx9CXFwcy5Ytw7Jly/D9+3dcv34dKSkpcHd3h4qKCrS0tHgmAASBoG3TTO01oqKiUFNTY2TLCIqamhpcu3YNd+/exdChQ2ljArcuHj/gl2mflJREJh7Ly8vh4uJCGz/Ly8v5ZhpLSkpi48aNjK3ynYEgcQsguFQAP/p/bHRmrBI00dYRGhoaeJoxsNGnTx9SVJ9zvjl//jyWLFnSLuNVUH1VQfUdS0pKKKL1Dx48AIvFoozX//zzD5k8DgoKQkRERIdtrB1dE37AS0CfCWxn7P9JCKp1KIjUi7i4OE3bkLvgUFtb26GbK7+4fPkyvLy8oKysDHd3dygpKcHV1ZU0QHNwcEBYWBhMTEwoiTgzMzO4ubm1y55++fIloqOjER8fj7q6OkhISGDbtm0U4sKfxIBMYLFYMDIywurVqzulq8mJr1+/kgUDOTk5PHv2DAsXLiSvC3cibufOndDQ0BCohZ4bCgoKjGy91NRUSElJ0dij7O+8fft2HDp0CDExMVi6dCnExMRw4cIFiIuLY/PmzXBzcyO1DLm1UoG2572qqgrp6em0luo/0a8eO3Ysrly5Ajs7O1hbW+Px48ews7NjbIWuqakhCwcXLlygJTH79++PoKAgRrfq9evX0wgVQFtxfs+ePX8Tcf/TJ/AX//vQu3dvnDlzhmQ3sVsN1dXVabolbFviefPmkQK5+fn5qK+vp7jh/bvQ3NxMCzbExMTg6Oj4R45cTAOuu7s77O3tSYFSTU1NmnaVnp4eCgsLIS4uDi0tLSxfvrxdN05OIWBzc3Ns3boVhYWFFM20Gzdu0LT2Tp8+TRmQm5ubcebMGQpzig07OzvMmDEDUlJS7VK+mYT6z507B0lJSbx48YJWpeGeAB48eNBhsuf+/fswNzcntagOHz6Mc+fOQU5ODmVlZbCxscHjx49JDac/ofX/v4Y/acHoyIKcyUK9IwQGBkJISKhDwxWmQKB37964dOkSMjIy8PLlS7LteMaMGTyDrI7MJjgxa9YsnDt3Dtu3b/9f4bpUVlaGhIQEJCQk4N27d1BVVYWjoyMWLFjAmPxmt6YKCwtDUlKy3dZ2CwsLLF++nJFFywva2tp8C6iPGTMGb9684clQ4kzCtZfIFxMTw4ABA6CkpNTpYJc7cdnS0oLS0lIcPXoU1tbWnTomG42NjWSiacSIESguLoaCggJ0dHRoAtdsCKpdKKgwOyckJCSwYcMGbNiwAc+fP2dkDfXu3RsrV66ElpYWrly5giNHjiAjI+Nfkojjt22aDUFE5TsLQU0ABAEvfTWgjbUXFRVFJoQrKipoWp3du3fnKRT+PwVeC0VBpQKYwK3/xw94aS8CbcYYp06dwps3bxAdHY3Y2FgMGzaMlkTkByNGjMDjx4/bTZjn5eUxjkshISHw8vLCnDlzsHz5ckyfPp02zgrKJu/M+Mf5mTk5OejduzeFbVhfX49u3bohOjoax48f56uNlS0J0lGrMdAmmM/9f0EF9GfOnPk/Pi8L2gYniNSLsrKywIYvHeljscFisWhmSvwYoDE1tWVnZ5MOmJxobGxEcnIyoqKi8OTJEwgJCWHq1Km4f/8+wsPDaYzSP4kBeeHdu3dobGzstK4mG7169SLXOcOGDcPr168BtM3Jnz59ou0vLi6O7OxsRtY9Z+zCi33NXtMyGXzxE7vfvn0bDg4OWLt2LQBg9uzZOHjwICorK3Hp0iWYmJhg165djOPxtWvX4OHh8S8vYABt1yUwMBBhYWE4fPgw8vPz4e/vT7sOampq5FqVnYSztbWFjY0NOQ79+PEDx44dw/bt2xEeHk7OjwRBUAoNnBCUlfifiL+JuL8gUVdXh1OnTiExMRFlZWXkdhkZGSxduhQqKiq0bLysrCyuXr2KyMhI0pZ4yZIlWLt2NF8RrAAAZGtJREFU7R9VHv4Uf5KE4zXgZmVl4enTp0hLS8OVK1fg7u4OOTk5Mik3duxYiIuLw8vLCwsWLOCLgcQ5ic6ePRtHjx7FiRMncPfuXTJ54efnR9EfEZQ5xVmxFrR6LUhySFdXFz4+Pti2bRtkZGQYJ5SjR49iwoQJOHToEMTExODi4gJvb29s27YNpqamEBISgpubG1ml/7+lH/X/OkxNTVFbWwsrKys0NDRg8+bNpAU5pxaKIFi1ahVu3LgBAKQLcHttSB2xANLT00lNHG42S0dmE9wOZ1++fEFSUhIiIiIgJSVFe9b+b4q/rlq1inTDZRs2cCZo+NE76d27N4KDgxnd6ISEhLB9+3b07t0by5Ytg66ubod6UkVFRXj58iWpHcPWQsvPz4ebmxslGJ07dy4cHBywY8cOyMjI0AIwznbQoKAgUpOGky3NyWIbMWIEwsLCOuWYzTRnDBs2DOLi4nBycvqjtr7Bgwfj5cuXkJaWxogRI8iWi9bWVp4OjoJqF/IrzM4EThbDuHHjMG7cOMrrP3/+xJ07d5Camop79+6he/fupG7cvwI7duyApaUlXr9+jZaWFly5coXSNs0Gv6Lyf8rG+Z8c+6WlpckxytDQEIGBgf8ylsu/C+0tFDU0NODq6kqTCnBzc6O1obYHTv0/NjqjvZiZmYnt27dDS0sLT548QWtrK5qbm2Fvbw+CIAROLC9duhRHjx7F1KlTGZ2yP336hKNHj2L58uW01+7evYvMzEzExcXRxtkRI0Z0Sl9V0Ht39OjRyMvLg4yMDH78+IGHDx/SXKKTk5MxevRoXLx4EXZ2dpQ21rdv38LS0pJMmJubm8PT05NMxLUnDs+JgQMHIjk5udMC+v+b5mXOz2xP0L+pqYlvk6zOGL7o6uq2ew/Fx8fj/fv3jHOfoAZo7cHT0xNXrlzBjx8/oKysjH379mHhwoWQkpLCuHHjGM1hBI0BOcGkr1hfX4/MzEzavd0ZXU1VVVX4+PjA1dUVioqKCAkJwbp165CamkpjXgGCxS6zZ8/m6TzenpZzdnY2SkpKoK2tjY8fP2L48OFkAa6qqoqiSTxjxgyUl5fjxo0bCAsLa7froFu3bv/SDjOm77Zx40YoKSnBwsICurq6tN+PKeF748YNbN++nVKkYO9nYGCAPn36oLW1FXv37oW9vT2FdcwuZnEbZ/034m8i7i8AAN++fYOBgQEqKysxb948rF69Gr169UJtbS2eP3+O0NBQJCcn4/z58zQK/6BBgxjFV58/f05bTPyrIag1ODd4iR4zDbgsFgtKSkpQUlLCrl27UFFRgYCAABw/fhxBQUEoLCzsVLsMJ+bNm4d58+a1u4+gzCl+2yRYLBYiIiIE3p+NtLQ0vH//nqeGSWFhIV69eoVTp06RScL9+/dDU1MTu3fvhoKCAjw8PBgDaW7wQ73/Twe3NgiTBfmfVKVdXFxw4MABPHjwAElJSdiwYQOkpKTIgIybhfgnDokdmU1wJ+JUVVUFbpf8d4EtPs1Lv6yj5HdNTQ38/f3h4eGBmJgY2uu+vr6oq6tDUlIS4uLicPLkSSgqKkJPTw+LFy+m/cZhYWFkJZIzyGSxWKQDJVML6IEDB2ifzZ1sWrduHS5fvgwfHx/IyckBAEpKSrBnzx6sWLECc+fOJUWAO+uYzQQJCQkaY0NQ6OrqwsbGBocOHcLs2bOxfv16DBo0CJmZmeR34cbp06cFml/4EWbnBSYWQ319Pe7cuYOUlBSkp6eja9eumDt3Lo4dO4apU6f+y7TTgLZkjb+/P0JCQni2TQsiKr9z507GxRg/Dq5sfP78GTExMSgtLcXevXuRnZ2N0aNHC2Rs8Kdoz4m7PcbXvxOCxC2A4FIB7en/cY+7Li4u7WovMoHtAm9kZETGC5aWlhAXF8epU6cETsQZGBggNTUV2traWL58OSZOnIhevXqhpqYGeXl5uHLlCoYPH87o9slisaCurg51dXXU19fj+vXrSE1NhY6ODsaMGQOCIBjdpP+V0NfXx4EDB1BYWIjHjx+jsbERGzZsANCWRExISMCpU6dw8OBBODk5CdTGCvAfM7I1lzsroP+/aV4GBBf07widMXzZsWMH47EqKyuxb98+vH//HqtXr2Z8DgU1QGsP4eHhGDlyJNzd3flm6QkaA3KCyThCTEwMRkZGPFv0hYWFSWIDp64mE2xsbGBubo7k5GSsW7cOYWFh5HPBdK8KErswtTeLiopCUVGRMRFdV1cHExMTPH36FCwWC9OnT4ePjw/ev3+PsLAwDBgwAE1NTZT2YWFhYXTp0gUODg4dPjPr1q1DQEAAXF1dGd1+BQUvawC2Trm1tTXj/cjPcdjXTUREhBzHWSwWtLS0+GZf/7fhbyLuLwC0MZVaW1uRmJjIqEH18eNHmJqa4vTp09i1axeePXuG5ORkiIiI0KokDQ0N8PPzw9mzZ/9I04cf8KMhxgZTkowp+Oc14BIEgefPn+Phw4d48OABcnNz0dzcDBUVFUybNq3T3yE5OfmPhIA7wqBBg9qddHNyclBWVkZqRHWWyWhubt7hPj9//qQcn129V1RUxOHDhxmrckzgRb3/34bOtITwCyZtkF27dv1LE5TCwsKYPn06pk+fDicnJ2RkZCA5ORnLly/HsGHDsHjxYmhpaWHQoEF/5JBYWlpKJok4oaqqyriY66wmBi/wk3xmciEG/s8YUlFRgZKSEqioqKC+vp7vVqY+ffrA2Ni43TY8zjaODx8+IC4uDh4eHnB3d8f8+fOxfv16UhogMjISpqam2L59OzQ0NMjWot27d5OV6M4yE8LCwuDr60tJXMnKysLR0RG7du3CunXrYGFhQUuc8gumtpG6ujpERETwdOHjF2ZmZujSpQsIgoCCggK2bt2K48ePQ1paGt7e3ozvEXRRqaCggIyMDIow+4YNG2BhYSGwscLWrVuRmZmJrl27Ys6cOQgMDISamlqHLa5/gpkzZ2LmzJk8XxeUjcO0GOPHwRVoGxdXrVoFcXFxfPr0CRYWFkhKSoK9vT3Cw8MZnfr+HegM4+vfDUEXioJKBQii/9cZ7cXi4mIcOnSItn3hwoV8zZncEBYWRnh4OPz8/HD58mWEh4eTr/Xt2xf6+vowNzfvkKX569cvfP/+HT9+/EBzczOEhITQrVs3rFixAr6+vgI7RvOLpUuXorGxERcuXICQkBCOHDlCtmyFhIQgJiYGpqamWLZsGZycnPhuYxUUtbW1kJKSwqBBg9CnTx+Bj/Gvnpf/FAkJCdi7dy8p6H/+/HlS0J/zORFE6uXYsWOk4culS5fI7f369YO5uTlMTU07PK+LFy/i0KFD6NmzJ06fPs1z/WBiYoIRI0agrKwMS5cuBdDWkrl//36KtiO/SbXY2Fhs27YNvXv3xvz587F48eIO5zhBYkBOcBYwmpqakJWVBYIgoKamxle3EC9dzY8fP+LGjRsQExNDcHAwJCQkICYmhsjISGRkZGDAgAGM7Y6CxC6CFhF9fX3BYrFw48YN8nfas2cPrK2tcejQoXaPx09rZk5ODrKzs5GSkgIpKSlaDMAZz/EaP1ksFkRFRTFw4EBcuXKFkTUItBU9T506heDgYGRmZnZ4bvxAV1cX1dXVKC0tZezS4Gft+J+Mv4m4vwDQxmZydHRkTMIBbRTpXbt2wdvbG6NGjYK1tTXExMQgIiKCsLAwhIWFQUVFBY8fP4aNjQ3Kysr+r1gW86shxguSkpKYOXMmXxOZiooKfv78CSUlJUyePBkbN27EpEmTBBbB54agQsCCwtPTk3F7XV0dPD09UVZWhunTp5N0+s62BPGjX0AQBC3ZJiQkBDMzM76TcP8vgd+WEF7PXXsQRBvkXwFRUVFoaGhAQ0MDjY2NuHz5Mg4fPgxfX98/dqztyGyCCQUFBTh16hRevnwJERER/PPPP9iwYUOnNCf4GTMGDx7MyPBtamqCjY0NkpOTISQkhNTUVHh5eaG+vh4BAQF8JdlzcnIYW8o40djYiFu3biE+Ph6ZmZno27cvli5dik+fPkFfXx87duzApk2b8PHjR6xcuRJdunSBvLw88vPzMXfuXNjZ2cHT0xNGRkadTrb/+PGDUdS8a9eupKB/r169On0PMjH1gLZrzytZ1h64Ne369OmDmpoaxMXFQVpaGv7+/lBSUqKws9avX4/AwED06tWrwwQtU3FHSEiIYnwxYsQINDY2Ijc3VyD9tNu3b0NERAQjRoxAeXk5Tpw4gRMnTvB9Hp1BRy3NgorKt8cm6wienp6YO3cu3NzcyLYcX19f2NrawsfH54+OLQg6w/j6d4Of2OpPpAIE0f/rjPZiz5498fnzZ5qm2+vXrzvdAiwmJgYbGxtYWVmhrKwM379/h6SkJKPLICcaGhpw/fp1XL16FQ8ePICUlBR0dHTg4eFB6lM5OzvDzs4OaWlpnTo3frBixQpG44zNmzdjx44dpNGXIG2sguJPBfQB4OHDhygoKMDv379ppjvbtm0T+Jz+BPwI+gsq9cKv4QsTPn36BAcHB2RkZGDlypWwtbXtMD5gn39jYyMAZgM0Nzc3yjqEF+s4KioKJSUliI2NRXx8PC5dugQpKSm0trairKysXZdSgL8Y8Pz582Tcu2rVKmhpacHAwIDsDBgwYADCw8M7peuck5ODTZs2kQzV7t27w9/fH+rq6ujWrVu73USCxi63bt1CSEgIJb40MTFh/Iw7d+7g8OHDlPiVneTjvOd5sZg7wqRJk/iOHdg6eKKioqTJ37t37/D7929IS0ujpqYGXbp0wZkzZ9otbm7ZsqXTsjbciI+Px759+0hjPba0B9AW2/1NxP3FX6Ctf72jiVteXh4VFRU4ceIE5s6dCx8fHwgJCcHT0xN+fn4wNjbGrl27MHDgQISFhf3bqoec+FMdmZ07d5KaIHp6eu26k6qqquLRo0d4+/YtpKWlUV5eDhkZmT/WwhNUCPhfgaysLOzbtw+1tbVwdXWlCXR3FoJMXpz43yC4/+/Anxgw/G/E58+fSdfG3NxcyMjI8FxsCYKOzCa48ejRIxgbG2P06NGYPn06WltbkZeXh3Xr1iEiIkJgwfiOxpH2nFyDgoJQVFSEiIgIMnAxNDSEvb09fHx84OTkxPO4L1++hJWVFUpKSmBra8u4T05ODq5evYrU1FT8/v0bc+fOxfHjxzFt2jQymJGXl0dAQAA2bdqE7t27k8wdtojx3LlzISsri/LycgCApqYmLl26BAkJiQ7bVDgXJJMnT4a3tzd8fX0pLW6HDx8m9e2uX7/eaZdnJqaeqKhopxmendHnGzx4MLmgEnRsLygowP79+ynJLE60l7B2cXGhzAM6Ojp/JLsgKPhpaWb/n41/JRuHG3l5eYiMjKR8noiICLZu3crIsvp3oTOMr/8b6MjsoDNSAZ3R/+uM9uKSJUvg7u5OMvvq6+tx7949uLq6ku6VnQU7ec0v1NTU0NzcjNmzZ+PYsWOYMWMGLaGipqb2P6JvBoAm1SFIG6ug+FMB/dDQUHJu4E56/E8k4vgR9P+TGK09wxduXL58GR4eHujZsydOnjxJ0QtrDx2ZWKmoqODLly+U97THOmZLaezevRtpaWm4fPky7t69i61bt0JJSQmGhobtPoPtxYCnTp1CYGAglixZgm7duuHo0aOIjY1FS0sLIiMj0draCg8PDxw5cgRHjx7l6/tz4ujRo1BTU4OzszOEhYXh4uICT09PXLt2rcP3ChK7XL9+Hbt27YKmpia0tLRAEASys7Oxa9cuBAQE0BLf1dXV6NevH+0zOe8/gP+EKXc8KgjTVEFBAa2trfDz8yPjiW/fvsHa2hpKSkrYsmULHB0d4ePjg5CQEL6PC/CXNGRCcHAwtLS0sGnTJqxduxanT5/G58+f4ezszLN1+78KxF/8BUEQcnJyRFVVVbv7fPnyhZCXlyeUlJSIFy9ekNu/f/9OjBs3jpg6dSphb29P1NfX/7tP91+G2tpaIioqilizZg0hJydHrFq1ioiKiiJqa2sZ929paSEeP35MBAYGEvr6+sSECRMITU1NYt++fZ36fHl5+Q6v+78S9fX1xP79+wk5OTnC2NiYqKio+JcdOzU1lZCXlye2bdtGhIeHE2FhYcTWrVuJMWPGEDdv3iQIou0+KygoIMrLy8k/JSUlIjs7m7KtvLy83c+Kj4//f+o++3eA6ZlVUlIi3r9//y/9nI8fPxIRERHE2rVrCXl5eWLevHmEr68vUVhY2OF7BTmfw4cPEwoKCoScnBwhLy9PjBs3jnB1dSVaWlpo+65Zs4ZwdHSkbXdyciIMDAz4+jxe+P37N2FnZ0cEBweT2zQ0NIh9+/YRDQ0NtP3nzZtHZGZmEgRB/b5ZWVmEurp6u59VVVVFeHl5Eenp6Tz3kZOTI3R1dYlz5/6/9u4zLorzexv4tRRbiBRjFKJibKCC2AVLVDAaxIJBMYodscYoGAVLxIIRBYk1saFgrNgrYFc0dvxZUREbsWBUMAKG4s7zwof9sy7g9l3g+n4+vmCYnT2Luztzn7nvczYIb968KXCfM2fOCH5+foIgCMLIkSOFgIAAITMzU9i6davQp08f4f3798K+ffuENm3aCIIgCEuXLhUyMzMFQRCEJUuWCEuXLi30X36PHz8WOnbsKDRu3Fjo1auX4O7uLjRu3Fjo2LGjkJSUJJw+fVpo0KCBEBsbW+Trlld2drZw7do1IT09XS3H+1hqaqowa9YsoU+fPgo97sKFC4Kzs7PM9v79+wseHh7Cpk2bBHt7e2Hjxo3CvHnzBDs7O+HgwYMFHuvdu3eS99W9e/eENWvWCJcvX1b8xajIxcVFCA0NFf777z/ByclJeP78uXD79m3Bzc1NWLdunSAIguDp6Sns3LlTEIQP530HBwfJ+y5PWFiY4OXlpXI8zZs3F+7cuSMIgvTn6urVq0KLFi1UPr687OzsJOfJCRMmCFFRUYIgCML9+/clnydtO336tGBnZyf4+/sL9vb2wuPHj4WwsDChfv36wq5duwp9XFHfx1u2bBHs7OyE0NBQyfVPly5dhDZt2giJiYnC8+fPhT59+giLFy+WetyKFSuEli1bCidOnBCuXr0qODg4CKtXrxaGDBki9O3bt8Dnys7OFvz8/AQbGxvJ972NjY0wcuRI4b///lPuj6KkyMhI4fXr10Xuk5OTo6Vo5LNt2zbh+++/F3r37i3ExMRIts+aNUto2LChsGjRIrU9V25urnDkyBFh7NixQsOGDYX69esL3t7eBe7brl074ffff1fbc6tqwoQJgo+Pj/D8+XNh7969gpubm/Dq1Sth7dq1QseOHbUSw/PnzwUfHx/B1tZWmDZtmkLnsr179wrNmjUTlixZIjRq1Eh4/PixEBkZKdjb2wvh4eFqi/HVq1fCunXrhG7dugm2trYFvgZ5rgE7d+4sHDhwQPLz1atXBRsbG+H48eOSbRcvXhRat26tVJxNmzYVEhMTpeKytbUtdLyW36NHj+S+dunZs6fMtY8gfLhu6t27t8x2Ly8vYeXKlYIgSH/Hzpo1S+jXr58gCIIwYMAAuf99bNeuXUX+y8/R0VFqfJ4nISFBcHR0FARBEBITE4XmzZt/8m+Wn42NjeDr6ysEBARI/jVs2FAYN26c5GdfX98C3z92dnbCvXv3JH+HkydPCoLwYczYq1cvheIoiZiII0EQFEvE2djYCP/884/U7xwcHIQ5c+ZoMkSNe/jwobB06VKhW7dugoODgzBx4kTh7NmzBe6blZUlnDp1SggMDBTs7e2Fhg0bKvWc8vzd1eWvv/4SOnbsKDRt2lTYunWr2o8vz8kr76I7/7+Pt+X9XBB9GbTqAxsbG+HVq1dS29SZiFu3bp3www8/CPXr15cM0m/cuKHQMRSNJzMzU7h69aqwdOlS4ejRo4UOyho1aiQ5sed37949oXHjxgrF+LHAwEChU6dOwvnz5yXbDh06JHz77bdCcHBwgbEkJycLgiD9eh88eCDY29urFIsgCHIlPPO7c+eO0KZNG2H16tVCenq60LFjR6FZs2ZCgwYNhIULF6ocz7t374Tt27cLc+bMEX799Vdh586dks/k33//XeD/i7yePn0qDB06VLh69arw7t07wc3NTbCxsRFatmxZ4MWlOiQnJwsODg4KPebUqVMFfkc1btxYuHr1qiAIgtC7d2/h4sWLgiB8+CwNGTJEZv8LFy4ILVq0EP766y8hJSVFaNKkieT/qrDEnaY0bNhQePTokSAIgjB06FDh8OHDgiAIQlxcnODm5iYIgiDs2bNHaNy4sTB37lyhd+/eQv369SWv9/nz58Lq1auFhg0bCrt371Y5ngkTJgh+fn7C+/fvJZ+r1NRUYcCAAcK4ceNUPr68unTpIpw4cUIQBEFYvHixMGvWLEEQ1PNdo6y+fftKkqP5v3NWrVoldOvWrdDHFfV97OHhIWzYsEHy87Vr1wQbGxupGxLHjh0TOnfuLPU4sVgsrFu3TjLYXrlypdC0aVPBzc1NuHnzZpGv4+HDh0J0dLRw4MABITExUcjIyBDmzp1b5GO0JSsrS7h06ZKuw1DI8+fPP5lUVEVeEquw95i9vb3kXKgPnjx5IvTs2VNYt26dkJWVJfTq1UtynRkREaGVGJo3by5JXuVPYhT072Pu7u6SGx/5P7vbtm2T+RyqS/5rPEWvAe3s7IS///5balvDhg2FpKQkyc8vXrwQGjRooFRstra2MmNPe3t7mecsjLzXLvb29sLDhw9lHv/gwQOhUaNGMtsvX74sODg4CGPHjhXs7OyEKVOmCJ6enkLDhg2Fc+fOKfoyZeTdsPj4X6NGjWTeB82bN5eck/P73//+JzlfPXr0SGjatKlCMaiSSGzatKnkvTtt2jRhzZo1giB8+HwqGkdJxKWpJPFxwdKP5Z9i+/EUVZFIhL59+2osNm2wsrKCjY0NHj16hOTkZFy+fBnHjh2T1CcSBAFnzpzBmTNnEB8fjzJlyqBt27YICgqSqpGjiF69eqlcY+5TMjMzsWDBAmzduhVOTk6YO3euUjXJPuX+/fsF1q/o1q2bpLaRKrWMLl68iLFjx2Lx4sWoXbs2+vTpAwMDA7x79w6hoaFwdXVV+tjFlbJT3eURHBwMY2NjtGvXDvb29gA+1MI4fvy4zL4//vijUh0SC6onMmPGDNy+fRsikajQeiLm5uYFLrt4/fq1yp2Zjhw5gqVLl0qWKwAfuhmbmZlh4sSJMktIa9eujbNnz8os7z5w4MAna67Iw9bWVu5Ct+/evUPdunVx5MgRZGZm4rPPPkNoaCguXLiAmjVr4rvvvivwOT5VGyy/cuXKwcPDo8DjqLpMf968eXj79i0sLCwQHR2NJ0+eSN4jISEhko666iRPfT55icViyRIVa2tr3L17F82bN4eLi0uBy0DCwsLg4uICe3t7REVFwcTEBIcPH8aOHTuwcuVKrX6nybOkWZGi8qoKCAjAoEGD0LZtW2RlZWH06NF48uQJTE1NC617qgnKdNvVNHU3OwCgcP2/PCKRCEOGDJH8PGLECIwYMULm+FlZWZg/fz4OHDgAY2Nj9OzZExMnTpQsczx9+jRGjhyJZ8+eYerUqUq9BmXcvHkT06dPV2o5ub6Rp+O8KgoroJ+nWbNmuHLlCqpVq6bROORlZWWF3bt3IysrS6qgv7m5OQ4dOqSVGPIv2y+oeU1RFG1ipQ756+Aqeg2Yk5Mj0xDF2NhYqpmeSCQq8HMmDyFfbbE8hoaGch2vd+/eCAoKkuva5csvv8SjR49klmA/evSowDpzTZs2xdatWxEeHg5ra2v873//Q926dTF16lS1NBXKq6+X5/3793j48CFmzpwpM+5u27YtZs2ahbCwMEn8Dx48QFBQENq2bYv3799j8+bNCp+7VKnJamdnh23btsHPzw/16tXDyZMn4e3tjXv37km9N0orJuIIAAosWFoQS0tLmQuxPJ/qSKWv4uPjsWfPHsTExCArK0tSg8nJyQkZGRmYNm0aJkyYgIcPH+Krr75Cx44d4ePjg5YtW6rcwU7VGnfy6N69O54+fYrq1aujadOm2LFjR6H7qtL1Sp6TV8uWLZU+vj4NWvWBorVBFJXXBSsxMRGJiYmF7icSifDjjz8q3CGxsHoiYrEYmzZtKrKeSMeOHTFnzhyEhYWhdu3aAD4U+g4KCpIUN1ZWRkaGVLH9PBYWFpKivvmNGzcOvr6+uHfvHt6/f49du3bhwYMHiI2NxW+//aZSLID8hW7379+PuXPnYvXq1bCzs5N8Hy9fvhw3btwotCmMvLXBAOCff/7BokWLEB8fj5ycHJmmCqrWUTp37hwiIyNRrVo1hIaG4ptvvkHTpk1hbm6u9uY/8tTnU5S1tTUuX76Mbt26oVatWrh+/TqAD90I84pt53fr1i0sWLAAJiYmOH36NDp06ICyZcuiffv2Wk02AR8GE6tWrcKMGTPQoEEDbN++HSNGjMDly5elEunyFpVXVZUqVbB7924cOHAAt27dgiAI6N+/P3r06KHVmqLKdNvVNE00OwCUr/9XWIF+4P+uKRYsWICoqCj06NEDZcqUwebNm2FiYoKRI0ciKCgImzdvRo0aNRAZGal0/Mr49ddfYWhoiOnTp2PevHkICAjA48ePsXHjxgKTnSQtf0Mce3t7zJw5E4mJibC2toahoaHUvso2HFNEYQlfAChfvjzKly8Pf39/rSV8VUlgKNPESp0UvQbUZ8nJyahQoYJc+3br1g0zZ85EYGCgpN7w5cuXMWvWLEn9vIJueNSoUUPqOzkuLg6nT59We21EQ0ND1K5dG1OmTMH48ePRrVs3ye9++eUXjBw5Et999x0qVqwIQRDw9u1bODg4YMaMGYiLi8OWLVsUrg+nirxGYmZmZujVqxeWL18ONzc3PHv2TOWaoCUBE3EEQLGCpba2trhy5YrUBZ8gCLh27RqeP38utW+LFi3UFqMmfPvtt0hOTkbDhg0xfvx4dO/eXeqOx2effQZXV1ecOXMGe/fuVaoTla4JggBLS0vk5uYW2cVT1ZOpPCevwjRt2hR79uwpsvCtPg1a9YGmuwYqWsRY0XiioqIwd+5cyXvDzc0Nnp6eWLFihaRLYt6FxscmTJiAoUOHolu3bpLP69u3b2Fra4vJkycrFMfHGjdujDVr1mDu3LmSot2CICAyMlJyVzi/jh07YsmSJVi5ciUMDQ0RHh6OunXr4rfffkOXLl1UigWQr9Dt+fPnMXnyZLi7u8vMipg6dSrWrFmDCRMm4M8//5T8bfNs3LgRPj4++PHHH9GxY0fs2rULaWlpmDhxokxR4l9++QU3btyAm5tbgXeGVZWTkwNTU1MIgoCzZ8/Cz88PwIeZZqre9PhYpUqV8M033yAgIEDuwtmfMnDgQMngrkuXLujZsyfKlSuH+Pj4Au+Mly9fHtnZ2cjKysLly5clsypfvnypkb9vUfz8/DBs2DBs3LgR/fr1w4oVK9CyZUu8e/cO3t7en3y8umbjvH79GmvXrsX48eNRvnx5RERE4N27dwCAU6dOISEhAXPmzFHLc8lD3hlf2qSJZgfKduP8VIH+vGuKY8eOYdq0aejXrx8AoEOHDpg7dy6ePXuG7du3S5p9qTqjWVG3bt1CZGQkGjVqhJ07d6JevXro378/qlatiqioqFJ3g09RBTXEWbVqlcw2kUiklUScviV8P9W9OI9IJJKJSdEmVkURi8Wf7Or6MWUaWXy8sio3Nxfr16+XjBfzr6xSxqeOn+fjsczw4cMxbdo0eHt7o0aNGjITR/KSjgAwevRo3L17FyNHjpTcnBAEAR06dJBckyxbtgwGBgaoWrVqkfFqskmJgYEBXrx4IbXNwsICUVFROH/+PBISEmBoaAhbW1vJJAgHBwecOnVKq9cXzZs3R2xsLLKzs2Fubo6NGzdiy5YtsLS0VEuzt+KOiThSyrhx42TufObddcojEok0Pq1f3pMcUPCySGdnZ3h4eBSZYHNyckJsbCxMTEywYsUKuLq6wtraGlOnTkV0dDSaNm2K0NBQtc0EUDdtde6U5+RVmI/fSwXRp0Erqe7p06dSyYlGjRrByMhI6o6itbU10tLSZB5ramqK7du3Iy4uDomJiRAEATY2Nmjbtq3CF5sf8/X1xeDBg3H+/HnY2dkB+LB8KTU1FevWrSvwMd988w2++eYblZ63MMnJyVi6dClq164NGxsbvH79Gs7OzsjNzcWKFSvQs2dPrFq1CgMGDCjwDn/t2rUlM2//+OMPyTLxPM+fP0efPn1QtmxZ2Nra4vr16+jUqRMCAgIQHBwslYQ4d+4c1qxZU+ByGXXIm4lVuXJl/Pvvv2jfvj2ys7OxevVqqZk56lCpUqUCk7byLO179OhRgdv79OkDc3NzmJmZoXbt2ggODsaqVatgZWWFX375RWb/Vq1aISQkBKampjAwMEC7du2QkJCAoKAgtGrVSvEXpYJ69eohJiYGb9++hYGBAaKiorB//35UrVq10CXN6vby5Ut4eHigTJky8PLyknQn9/DwgJmZGZ4+fYrt27fD3d1d4c7IqsjrivzgwQMsXrwYR44cQd26dVWa4a2KCRMm4Pnz55LERq9evSTnWl9fXwBQuFSAst04N2zYgPHjx0stkS/Iy5cvpRLe7dq1w5MnT3D48GGsW7dO6+/3PIouJydpecvmMjMzUa5cOanz771791CtWjWtrpbRt4SvKuUafHx88PbtW/j5+SErKwujRo2CoaEhfvjhB0mHdnm1atUKjo6OaN26Ndq2bSt3t1dFFLSyqnLlyjIz5ZUtjSPv8QuaVLBo0SK8f/8eFy9elJr5m7fCIP9YtWzZsvj999+RlJSEu3fvQhAEVKlSReqc4+npicOHDwP4cBPZzc1N7dcoefLPOs2Tnp6OqKgoSWmI/EQiERwdHeHo6CjzO12NU/PfqKtTpw6mT5+ukzj0ERNxpDBdtXEvSP6TXFZWFg4ePIj69eujcePGMDIywo0bN3Dt2jWp+k0fJ+8KW7IFfEje5S1T+/XXX7Fnzx60a9cOp06dwu7du/HTTz/hxIkTWLBggVaWmeqj58+f4/DhwyhbtixmzJiBiRMnSk5eNjY2kqWDRZGnLbY+DVpJdarWEzEwMECtWrWQm5uLMmXKoE6dOion4YAPCcF9+/YhKioKd+/ehZGREbp16wYvL69Cl4PIszRLWWXKlJEMGqytrZGYmIhvvvkGdnZ2koTQrVu3Prm8sn///gVevMtTGyz/vpUqVVLp9RTF398fo0aNQmpqKnx8fFC1alXMnDkTR48exZo1azT2vPkVNWs4v7zBRGGJu3PnzgEAOnfuDADYtWuXzHshMDAQgYGBuHPnDkJCQmBiYoI9e/agTJkyUomU+/fvY/bs2ZIlwR9T5YZXeno6wsPDceDAASQnJ0u2W1tbo0ePHkrXP1VGXtIyIiJCqvbl4MGDJQPHlJQUbN26VWuJuBs3bqBfv35o3Lgxbty4gezsbCQkJGDevHlYvny5Vv8++c+1kyZNwvjx43Hr1i2IxWLUq1dPqialoqUClK3/l5aWVmBt2I/l5ORILQ0zNDRE2bJlMW3aNJ2evxVdTk6yDhw4gKCgIElZhDzz5s2TlEX49ttvtRKLviV8VR0X+Pn5YfTo0UhMTMSpU6fQoEEDtGnTRuFrnWHDhuHSpUsIDQ3F7Nmz8dVXX6FNmzZo06YNnJyc1HIzW9M3/VU5fmE3UfNbvnw51q9fj6ioKFhbW+PNmzf45ZdfkJGRAQBwdHTEH3/8gXLlymH27NkIDAzEuXPncPDgQQwePBiVKlWSJOU+rmusioJmnRoZGaFJkyaYOXOm1HZNXisoS9MlTYo7JuJIYaoW5Fan/Ce5KVOmYMiQITJfWosWLUJSUpLk54Li37dvH5ydnWXuFOcXExODsLAwNGzYEIGBgWjZsiVGjRqFtm3bwsfHRw2vpvi5dOkShg8fjv/++w/Ah4H6kiVLFF7OIc+MOHkHrVTyvXnzBlOnTsWxY8ck7x0DAwO4u7sjMDBQ4QYoBSVTypQpIzWoiIqKAiCbWJN3aZay5Cl0m5WV9clZB2ZmZpIlfvnJWxsMAHr27Ik1a9Zg9uzZMvV/1KFRo0Y4ffo00tPTJTdABg8ejAkTJqhU+0oRil7sK7JE5eP3goWFBZYuXSq1zc/PT2a2RmBgIF69eoWff/5ZrbN/U1NTMWDAADx79gzffvst+vbti4oVK+Lt27e4efMmVq1ahejoaGzatEkrs45PnDiBX375pcjPr5eXV5E3z9QtNDQUw4YNg6+vr6SBS1BQED777DMsXbpUa4m4ws61hc1WVKZ0gTL1/1Qt0F/QjA5tUnQ5OUk7f/48Jk2apFRZBE3Q14SvIpRtYlWUvBmrYrEYN2/exOXLl3Hp0iUEBgbi33//hZ2dHdq0aYPWrVtrbMa7LuWfvfz69WsYGRlJ1QLeunUrVqxYgSFDhkhuNk6dOhXlypXDli1b8Pnnn2PcuHFYtWoVfvrpJwAf3lt5ycyZM2fi9OnTiI6OhoeHB2rUqIGuXbvCzc1NatmrMj5u1lAUTV0rqELTJU2KOybiqMSIiYnBrl27ZLa7u7tL1aYo6A5VTEwMJk2aVOR07bS0NMnsrjNnzki61ZiZmUkujkubxYsXw8nJCbNmzYKhoSFmz56N4OBg7N+/X6HjHDx48JM1huQdtFLxoWw9kaCgICQlJSE8PByNGjWCWCzGpUuXEBQUhPnz52PGjBkKxaFKMkXepVnKkqfQ7ddff40rV67IFG/PLz4+vsCbEIrUBktLS8P+/ftx4sQJVK9eXeazp0pXZABwcXHBjh07YGZmJtn29ddfIyUlBY6Ojjh//rxKx9cEVZeovHjxAlFRUXjw4AGmTp2Kixcvol69eqhVq5Zkn6tXr2Lz5s1SHe3UYfHixRCLxThw4ECBy4WeP38OHx8fSc02TXv27Bnq1q0rta1Vq1ZSSWYbGxuZJjWadOPGDQQGBsps9/LykiTntUFd51plfHxuVrZAf0Ez3+WZDa9Jii4nJ2mqlEXQJl0nfOWlShMreRgYGMDe3h729vaSshM3btzA5s2bsW7dOvzxxx/FqlOwItavX49Vq1bh1atXAD40w/D29saQIUOwbds2BAQEwMvLCwBw/fp1PHz4EL6+vpKZxqNHj0ZwcLAkEZefsbExOnbsiI4dOyI7Oxs7duzAwoULERYWptTfU9myS5q6VlCFpkuaFHdMxFGJUbFiRdy6dUvmLtGlS5fUspyqRo0auH79Ol69eoW///4b7dq1AwAcOXJEb9q1a9utW7ewdetWyZK9qVOnokOHDkhPT5ers118fDxq1qwJS0tL7N69W1Jzb8SIEQVeoMszaKXiQZV6IseOHcPKlSulTuzOzs4oW7Ys/Pz8FE7EqZJMkXdplrLkKXTbo0cPLF68GI6OjgUmtFNSUrB48WJ4eHjI/E7R2mD5O3Spw8GDBxEXFwcAePLkCWbPni0zI+rJkyc6H7AXRpUlKo8ePYKnpydMTEyQkpKCCRMm4ODBg5gyZQoiIiIkM3LMzc2llmyry8mTJzFjxoxCa/ZUrVoV48ePR0hIiFYScSYmJpJlQHlWrFgh9fPbt2+1NjsS+DDASk9Pl9n+7NmzAjuIaoqq51p1UrZAf1BQkNRnu6iadZqkynJykqZKWQRN0ceEr7xUaWIlL7FYjPj4eJw+fVpSVsPY2BiOjo5qa1ykb7Zs2YKQkBD0798fLVq0gCAIuHjxIsLCwmBiYoKkpCS0adNGsv+5c+cgEomkZjzXqVMHT58+LfQ5Xrx4gUOHDiEmJgaXL1+GtbW10s0IlF25palrBVVouqRJccdEHJUYffv2xYwZM5CUlAQ7OzvJyWbjxo2YNGmSyscfPnw4/Pz8YGBgAEdHR9ja2mL58uVYvnw5fv31VzW8guInMzNTavZKlSpVYGxsjDdv3nxycLBlyxbMmjULa9euhbm5OaZMmQInJydEREQgJydH5gJY3kErFQ+q1PswNjYu8P1lYWFRaE25oqiSTFF1aZY8PlXodsCAAYiNjUW3bt3g4eGBJk2aoGLFikhLS0N8fDx27dqFmjVrSs1wU6Y2mCYGyE2aNMGWLVskS4yfPn0qUyewQoUKmD9/vtqfW12UXaISHByMTp06ISgoSDLICgsLg7+/P0JDQyXLCwcMGICwsDCEhoaqNeny8uXLT3YCt7W1LXLwoU516tRBXFxckXVFT548iQYNGmglHgDo1KkTFi1ahN9++02yLSkpCXPnzkWHDh20Focq51p1U6ZAf4sWLWRmMhZVs06TVJkBTdJUKYugKfqS8FWGKk2sivLs2TPExcUhLi4O586dQ3p6Oho0aIC2bdvCz88PTZo0UXtncn0SEREBf39/DBgwQLLt22+/hbW1taRbbf5k7aVLl2Bqaip1QzYjI0Pm5ktKSgpiY2MRExODK1euoHr16nB1dcX06dNVat6g7MotTV0rqELTJU2Ku5L7qaNSZ8yYMTA0NMSGDRuwfPlyAB9m00yePBn9+/dX+fju7u6oX78+kpOTJR0S7e3tER4eDicnJ5WPXxzldRzKz9DQUK5kSGRkJKZPnw4nJyeEhYWhbt26WLt2LeLi4hAYGChzASzvoJVKvkGDBuHXX3/FokWLYGFhAeDDoPC3335T+rOuSDJF2aVZirw+ea1fvx6GhoaIiIjAokWLsGPHDkREREh+/8UXX8DLywujR4+WDJhUqQ32+vVrPHjwQPIZFwQB2dnZuH79ulLLcy0tLSVLKwYOHIhly5ZpdcaTuimyRCXvRlH+71AjIyOMGTMGnp6ekm1//fUXLl26hJYtW6JSpUoyS4KVLXZcUMOUj5UrVw65ublKHV9RvXr1wvz58yU3uj52584drF69WqZzpyb5+/tj+PDhcHR0hFgsxvfff4/09HTY2toW2HVXU1Q512qCogX69en8rM2OhyWdKmURNEGfEr7KULWJVWGcnZ3xxRdfoF27dpg5cyZat26tsw6auvD06dMCO9u3a9cO8+fPR/369REfHw9ra2v8+++/OH/+PFxcXKT2jY6Olty4ioiIQGxsLK5evQorKyu4urpi2rRpOl8SqqlrBVVouqRJccdEHKlM3QMzVYwcORIjR45EamoqRCKR1B1kVSUnJ8PGxgY2NjaSbd988w1yc3OxZMmSAusGUOH+/vtvODs7A/hQcy/vJFm7dm28fPlSZn95B61UMjk7O0v93z958gTOzs6S5NeDBw+QlZWFN2/eqPxcn0qmKLs0S14XLlyAgYEBmjVrJvdMuzJlymDy5Mnw8/NDcnIy3rx5AwsLC1SvXl1mAK9sbbC9e/di+vTpyM7OhkgkkkoOfPXVVyp/3+vTYF0V8i5REYvFBQ6oMjIypBK6zZo101qXUF36/vvvceTIEfTu3Rvu7u5wcnKChYUF0tLScOHCBezevRsdO3ZEly5dtBaTSCTCli1bcPbsWakOpe3atVNLl+biSN8K9CtKmx0PSzpVyiJoQkk5h6hbpUqVkJqaigcPHsDKygrVqlWDmZlZsVmyqyorKyvcuHFDJmF8/fp1yc3KwMBAJCQk4MqVK8jOzsbgwYMBfHgP79u3D+Hh4ZKbQMHBwTA2Nka7du1gb28PADh+/DiOHz8u89zanFWrr9cK6i5pUpIwEUcqyRuY5bVJVvfATFFPnjzB1atXC2w7nzcgLqjDpjxT1wcPHowNGzZILS/Kq4/x6NGjUpuI+1TB/Twfn4wqVaqEFy9ewMjICAkJCfj5558BfFj28sUXX8g8j7yDViqZevXqpdWLxqKSKcoszVLEwoULER0djbi4OGRnZ6Nr165wdXWV1IcqipGREb7++usi91G2NtiKFSvg5uaG4cOHo1+/fli7di1evHiBWbNmYdy4cYq9yP+vfv36OH36NCpVqgRbW9si/4/1uYi0MktU2rZti5UrVyIkJESyLS0tDSEhIXB0dJRs0+SF/Mff3x8rrGGKpixfvhzr1q3Dhg0bsH37dsn2ypUrY/To0VrvUO7u7o5FixbByclJ5zPflT3XqltxKdBfFG11PCzplCmLQEVTtolVUU6fPo3bt29LlqeuWLECn332GVq1aoV27dqhTZs2Jfq9/sMPP2DWrFlIS0uT3By4fPkylixZgkGDBqFHjx7Izs7G5s2bYWBggN9++03S4GPlypWIioqCj48PevbsCQCSv1ViYiISExMLfV5tL2/Xx6X0bdq0Qbt27Yr1SgdNEgl5hVmIlNC1a1c4ODgUODDz8/OTfGlpQ1RUFGbNmoX379/L/E4kEkkGcYoUz8x/d+2nn37CzZs3sXHjRlSqVAnLli2TdG2cM2dOkXVtSqq8GW2fIhKJZKZEh4SE4NChQyhfvjzS09Nx+PBhxMbGYs6cOejduzcmTpwotb+vry8MDAwQEhKCZs2aYe/evZKW4ubm5liyZInaXheVToUlU1xdXWWSKYUtzfL29i5waZYy0tPTcfToURw8eBDnzp2Dg4MDunXrhs6dO6s029fe3h4xMTFFLhf6+++/4erqiuvXr0s9bvfu3ahduzYGDhwIHx8ffPPNNzh06BBWrFiBnTt3KhzLrl274ObmhjJlyhTY9Tq/Xr16KXx8TStoicp3330n1xKVlJQUDBo0CG/fvkVaWhpq1aqFJ0+ewMzMDBs2bJD6/7lx4wbCw8Nx9+5dGBkZoU6dOhg8eLBK3QDl/f4GVKvpqKzk5GS8evUK5ubmqF69uk5moLVt2xaRkZE6P7+rcq5VNycnJ0RGRhZZX/D69esYNWoUzpw5o9FY1C3/DOiMjAy9Tv7ri+zsbElZhPwz0r/44gt4eHhIlUWgomnrOzkzMxNnz57FmTNncObMGTx+/Bg1a9ZE27ZtMW3aNKWPq6/yus1u3rwZubm5EIlEMDQ0xA8//ICpU6cWeW5JSUlBmTJldL6Ut0mTJti7d69Mjbhly5bB29sb5cuXL7QRDfDh3DB27FhNhymjZcuW2LRpk6T7LEljIo5UoomBmbKcnZ3RsWNH+Pr6aqRI5fv37zFp0iRcv34d5cqVw7Nnz/Dzzz/jhx9+UPtzlQZisRgbN25EcnIyvLy8YG1tjT///BOvX7/Gjz/+KDPLTZFBK5V8J06cwN27d2VmvypzsaFoMuX8+fMYOnQo3N3d4evri8qVK0t+l5SUhDVr1mDv3r1qXZr15s0bqRl6LVq0gJubm1JLX21tbXHmzJkiO1m9fPkS7dq1kxqINmvWDLt370b16tUxffp0fP311/D29sbTp0/RvXt3XL58WeFYirpw/Jg+3u21tbWFsbExWrduLVmiUpiC4n/37h3279+PhIQEiMVi1K1bFz179pQ6h124cAHDhg1DvXr10Lx5c0kjort37yIyMlIvl6KUFKtWrcLu3bvh5eWFGjVqFNiEoLRp2rQpdu/eXWRdsOTkZPTs2RPx8fFajEx5Bc2AdnV11Uq34JIiNzf3k2URSL+8e/cOV69exZEjR7Bz5068e/euRCef09PTcf/+fZw6dQoNGjRAmzZtZLq064OCVm4V1jX1/Pnz2LFjB8zNzYtM5GrjJk1BPD09MWTIEEknYJLGRBypRBMDM2XZ29sjOjpao90LxWIxAgICsH//fmzZskWl2QikOHkGrVTyzZ49G5s2bUKlSpVkLqKUudhQNJni7e2N2rVrF7g0K8+UKVPw8uVLtS/NyszMxK5du/Dbb78pPWND2UTc4MGD4eDgAD8/P6xfvx4nT55EeHg4Tp06hcmTJ+PcuXNKxSJvB0NdXER+ijZmKvXr1w/16tXDrFmzpLbPmjUL9+7dY10kDSqqiH/+mfaliYeHBwYNGlTkioc9e/ZgzZo12LdvnxYjU4wiM6CJSoLnz58jPj5e8u/u3bsoW7YsWrRoAUdHRzg5OUnVwS7uNm3aJJkQ4unpCTc3N3h5eeH27dsQiUSoUqUKIiIi9K4upLIrt/TRjBkzsH37dtja2qJmzZoy1+z62L1Ym1gjjlRiZ2eHbdu2wc/PD/Xq1cPJkyfh7e2Ne/fuSXX50Yb69etL6jOpS0F3JUQiEYyMjDBx4kQ0b95csr20f5nIQ9XZL+XLl0efPn3UGRIVQwcOHMDMmTPVNhtV0XofebUhi9K/f3+MGjVKLfFlZmbi+PHjiI2NxalTp1ChQgVJ3ThlKVMbbNy4cRg+fDjMzMzQq1cvLF++HG5ubnj27JnSdzuLewdDRZcHKdoRF/hQizQoKEjm9wMGDEDv3r0Ven5SjD4mf3VN3wr0K0pfOx4SaYqfnx+uXLmC58+fw8jICI0bN4aLiwumT58OBweHEllnOTw8HMuWLUP37t1Rvnx5LF68GDt37oRYLMamTZsky1V/++03LF68WNfhSlEkubZ79+5ProxITU3FlClTsGLFChUjU9yDBw8ks/Y/7mhMTMSRijQxMFPW8OHDMXv2bCQnJ6NWrVoyLZKVWULy999/F7jdwcGhyN9TweRdqpyX8FBm0Eoln5GREVq1aqW24ymaTMnKyvpkzRszMzO8e/dO6ZgyMjJw/PhxxMTEIC4uDuXKlUOnTp2wfPlyODo6qnThbGVlhejo6E/u93Ezh+bNmyM2NhbZ2dkwNzfHxo0bsWXLFlhaWip0Bze/0tbBMP8S+qysLBw8eBD169dH48aNYWRkhBs3buDatWtSNxzMzc2Rmpoqc6zXr1/LnOdIvVjyQFZxL9Cvrx0PiTTl4cOHcHV1hZOTE5o3b17kTbiSIioqCnPnzpWMRd3c3ODp6YkVK1ZISoZMmTKl2C8/nzp1KsqUKVPomPv8+fP4+eefkZaWpt3A/j99n7Gna1yaSgq7efMmbG1tJQPBlJQUZGdno3r16rh3757UwEybgwQuISl58s9I/NSgdebMmboLlLRq+fLlePz4MebMmaOTRISml2aNGTMGZ86cQbly5eDs7IyuXbvCyckJRkb6de8sJycHt2/fRq1atWTqlqhyzLwOhkePHi3RHQynTJkCU1NTBAQESG1ftGgRkpKSsHTpUgAflqDGx8cjLCxM0jTg3r17mDhxIho0aMDZ2Brw+vVrrF27FuPHj4exsTG6d+8uNUu0devWmDNnjg4j1K3iXKBfnxpfEJFmFNSUys7ODnv37kWtWrUAfJih1aFDB9y8eVNXYaosKCgIW7ZswaJFi9CpUyfJdrFYjCVLlmD16tWoWbMmFixYoLNZv//99x9iYmJw//59DBs2DHfv3kXdunV13gBDHzARRwpr2rQpDh48iKpVq2LQoEFYtmwZKlasqOuw8OTJkyJ/r8yd7adPn8q9b0kbJOobeQetVPLdv38f/fr1Q2ZmJipXrixTEFrTg6fIyEhERkZi8+bNhS7N6tevHzw8PJTqUmVrawsjIyPY2dl9MtGozZmgz549w7Rp0zBhwgTUq1cPvXv3RlJSEipWrIiIiAjUr19frc9X0jsYNmnSRDJ7KL+HDx/C3d0d//vf/wB8aNQxdOhQJCQk4PPPPwcAvH37Fra2tli7di0vZtXs5cuX8PDwQJkyZbB+/XpYWlqiSZMm8PDwgJmZGZ4+fYpdu3Zhw4YNpb5RBgv0E+m/0ri6pKBauB93Hi2oFm5xFBQUhK1bt2LZsmVo3749nj17Bj8/P/zvf/+Dl5cXJk2apLOmFC9fvkTfvn3x6tUrZGdnIzY2FnPnzsWNGzf0oiO5runX7XUqFoyNjbFt2za0atUKFy5cwIULF2BqalrgvtrsKFZUoi0rK0upYzo7O3/yolIQBM64k5Otra3cF+kf/z1jYmKwa9cumf3c3d2V6hxJxdekSZNQsWJFeHh4oEKFClp/fk0vzXJ3d9fLwey8efPw9u1bWFhYIDo6Gk+ePMHGjRuxc+dOhISEYO3atWp5noI6GCq79FWfVaxYEbdu3ZJJxF26dElq8GBqaort27cjLi4OiYmJEAQBNjY2aNu2LQwMDLQcdcm3atUqWFlZISIiQmrwMnjwYMkALiUlBVu3bi31iTgjIyN8/fXXug6DiIpw4cIFGBgYoFmzZhptaEe6MX36dIhEIvz0008YPnw4/vzzT5QrVw5r1qxBmzZtdBpbcHAw6tati/3796N169YAgPnz52PChAkICQnRSd06fcJEHClsyJAhWLJkCZYvXy6p5VUQbSenUlNTsWLFCty9exfv378H8CFJlpOTg3v37uHSpUsKH7Ok3BnSF7/++qvSCQZ5B61U8iUmJmL79u2oV6+eTp7f0NAQERERkqVZERERkt998cUX8PLyUmlpVnBwsJoiVa9z584hMjIS1apVQ2hoKL755hs0bdoU5ubm+P7771U6dmEdDKdPn16smjcoom/fvpgxYwaSkpJgZ2cHsViM+Ph4bNy4EZMmTZLslzfzvH379mjfvr1k+6tXr+Dt7Y3du3frIPqS68SJE/jll1+KnEHg5eVVYAMNIiJ9s3DhQkRHRyMuLg7Z2dmSZk9ffvmlrkPTqI+bUuXm5mL9+vWSySMFNaUqrqZNmwaRSITly5ejWbNm+P333wudJKNN586dw6pVq6T+H0xNTeHv76/QTM2Siok4Utjo0aMxcOBAvHnzBi4uLti2bRssLCx0HRZmzZqFs2fPok2bNoiJiYGbmxuSkpJw69Yt+Pn5KXXMli1bFrj99evXMDIy0oslucWJKoN1eQetVPLVrl0b//77r05jKFOmDCZPngw/Pz+tLc0aMWIEgoKCdHbxnJOTA1NTUwiCgLNnz0q+V8VisdL160pzB8MxY8bA0NAQGzZswPLlywF8aJAxefJkfPXVV5Iu0xcvXsSKFStkZn8+evTokyUZSHHPnj1D3bp1pba1atVKKrFuY2PDDnBEVCzkNT9KT0/H0aNHcfDgQYSFhcHBwQHdunVD586dYWZmpusw1aqgplSVK1eWKV3ycVOq4mzq1KkwMDDA1q1bkZiYiObNm+s6JGRkZBS6ciU3N1fL0egf1ogjlVy4cAFNmzbViyLirVq1wvz589GhQwe4ublh4cKFsLW1xS+//IKsrCwsWLBA5edYv349Vq1ahVevXgH4MPvF29sbQ4YMUfnYpdHRo0excuVK3L17F0ZGRqhTpw68vb3x7bffFrj/ypUrsWHDBskAyNLSEj4+Pujfv782wyYdO3jwIBYtWgRvb2/UqFFD5vtHm0vitenj+iba5uXlhVatWqFy5cqYPXs2jh8/DgsLC8yYMQNPnjxRqjuWra0tjI2N0bp1a0kHw8KU5A6GqampEIlEksHQvXv3MHLkSAiCgGfPnqFKlSpSy1BFIhEqVKiAQYMGSXVYJdU5OTlhw4YNRdauuX37NoYPH47Tp09rMTIiIvV48+aNVAmIFi1awM3NjaVeipm8G3b5RUVFIT09HYMHD5Y0VgR0cw01YsQIfP3115gyZYrkGrZq1ar4+eefkZGRgTVr1mg9Jn3CRBwprKAPfWG0+aG3s7PD4cOHYWlpiXHjxsHFxQXu7u64c+cORowYgZMnT6p0/C1btmDu3Lno378/WrRoAUEQcPHiRWzZsgUzZsxA79691fRKSodDhw5h/PjxcHFxkfp7Hj9+HEuXLoWLi0uhj/140EqlS2ntkKzrRNy1a9cwatQopKamwsfHB35+fpg5cyYOHDiANWvWwMHBQeFjlvYOhi9evEBUVBQePHiAqVOn4uLFi6hXr56kqxvw4W+0fft2vZh5XhoMHDgQLi4uRd5gW7lyJS5fvoxVq1ZpLzAiIjXLzMzErl278Ntvv5XIpkglnb5fQyUlJcHLywuWlpZITExEq1atcP/+fbx9+xYbNmwosaVH5MVEHClM3g/9f//9h7/++kvD0fwfFxcXzJ8/H82bN8fChQuRm5sLf39/PH78GD169JB0oFPWd999hwEDBmDAgAFS2zdu3IgtW7Zg3759Kh2/tHF3d0enTp1kkrXLli3DyZMnsW3bNpnHyDNopZJPEx2SiwNdJ+KAD8tQ09PTkZubi0uXLsHCwgJ16tRhUlwJjx49gqenJ0xMTJCSkoLo6GiEhIQgLi4OERERhSY2c3JycPv2bdSqVQufffaZlqMu+Xbu3In58+cjMjKywEHCnTt34OXlhblz56JLly46iJCISHmZmZk4fvw4YmNjcerUKVSoUAGdOnWCq6srnJycdB0elTAvXrzApk2bkJCQALFYjLp166J///5sHAIm4kgDEhMTJYmpCxcuaO1558+fjyNHjiA4OBjZ2dnw9fXFzJkzceTIESQmJmLPnj0qHb9Ro0bYv38/atSoIbX98ePH6NatG65du6bS8UubRo0aYd++fbC2tpba/vDhQ/Ts2RNXr16V2q7soJVKl6ysLJ21ade0ffv2wcXFReudYpcvX47169cjKioK1tbWuHLlCnx8fJCeng6RSARHR0f88ccfSjenKK1Gjx4NCwsLBAUFoWnTpti7dy8sLS3h7++PFy9eSJb6Pnv2DNOmTcOECRNQr149eHh4ICkpCaampoiIiED9+vV1/EpKnjFjxuDUqVNwd3eHk5MTLCwskJaWhgsXLmD37t3o2LEjwsLCdB0mEZFcMjIycPz4ccTExCAuLg7lypVDp06d0LVrVzg6OkotYSRSl2XLlsHb21uqWQMApKenY/HixZg2bZqOItMPui/sRSVCdnY2YmJisGXLFly5cgUikQidOnXSagy+vr7Izc3F06dP0b17d3Tu3BkTJkzA559/jsWLF6t8fCsrK9y4cUMmEXf9+nV88cUXKh+/tPnyyy/x6NEjmUTco0eP8Pnnn8vsHxwcjE6dOkkGrQAQFhYGf39/hIaGKlWfioonTXRI1mf//fcfDAwM0L17dyQlJeHEiRNo0qSJ5HOgSVu3bsWKFSswZMgQSXfiKVOmoFy5ctiyZQs+//xzjBs3DqtWrcJPP/2k8XhKkrxmM/mbexgZGWHMmDHw9PSUbJs3bx7evn0LCwsLREdH49mzZ9i0aRN27tyJkJAQrF27Vhfhl2jLly/HunXrsGHDBmzfvl2yvXLlyhg9ejR8fHx0GB0RkfzGjBmDM2fOoFy5cnB2dsayZcvg5OSkF/W9qeRJSkrC69evAXw4l9ra2sp0cL179y6ioqKYiNN1AFS8PXr0CFu2bMGuXbuQlpYGkUiE77//HqNGjdL68qkyZcpIfaBnz54NPz8/mJiYqOVk88MPP2DWrFlIS0uTDIAvX76MJUuWsAWzErp164aZM2ciMDAQzZo1A/Dh7zlr1ix07dpVZn95B61U8mmiQ7K+unjxIsaOHYvFixejdu3a6NOnDwwMDPDu3TuEhobC1dVVo8+/bds2BAQEwMvLC8CHGw8PHz6Er68v6tSpA+DDzK7g4GAm4hQkFoshFotltmdkZEjNTjh37hwiIyNRrVo1hIaGol27dmjatCnMzc1V6kRNhROJRBg2bBiGDRuG5ORkvHr1Cubm5qhevbpU0wwiIn137NgxGBkZ4euvv8aTJ0+wevVqrF69usB9169fr+XoqKRJTk7GqFGjJOO1wurFe3h4aDMsvcREHCns/fv3OHToELZu3Yrz58/D0NAQbdu2hZubG6ZMmYKhQ4fqtIZRfmZmZrh48SICAgKUKlLp6uqKPn36oGfPnhg0aBCePHmCX3/9Fe/fv4cgCDAyMsIPP/yA0aNHayD6km306NG4e/cuRo4cKfmyFgQBHTp0KDCZIu+glUq+s2fPSjok37lzB97e3pIOyffu3dN1eGoVFhYGFxcX2NvbIyoqCiYmJjh8+DB27NiBlStXajwRl5SUhDZt2kh+PnfuHEQiEdq3by/ZVqdOHTx9+lSjcZREbdu2xcqVKxESEiLZlpaWhpCQEDg6Okq25eTkwNTUFIIg4OzZs5LvR7FYzBkNWlC9enW9uaYhIlKUu7u71E1sIk3q0KEDjh07BrFYjE6dOmHbtm1Szabyur6ztjATcaSE9u3b4+3bt3B0dMScOXPw7bffSqacBgQE6Dg6Wf/995/Sg8RmzZrhjz/+QFhYGDp06IA+ffpg/PjxuH//PgCgVq1aMDExUWe4pUbZsmXx+++/IykpCXfv3oUgCLCxsYGlpSXCwsIwdepUqf3lHbRSyZeRkQEbGxsAHz6Dt2/fhq2tLQYMGIARI0boODr1unXrFhYsWAATExOcPn0aHTp0QNmyZdG+fXsEBwdrJYb8F/CXLl2CqampVBH7jIwMmfof9GkBAQEYNGgQ2rZti6ysLIwePRpPnjyBqamp1P9tgwYNsH37dlSuXBn//vsv2rdvj+zsbKxevbrUdxwjIqKiaetagSiPlZUVAODo0aOwsrJiIrgQTMSRwt6+fYtKlSrBysoKZmZmJXoAFhQUhBkzZuDw4cPYvXs3xowZgy+++AK9evWCh4cHk3AKysrKwvz583HgwAEYGxujZ8+emDhxImrXrg0AOH36NEaMGIFnz57JJOLkHbRSyVelShU8efIElpaWqFmzJu7cuQMAKF++PN68eaPj6NSrfPnyyM7ORlZWFi5fvow+ffoAAF6+fFlgLUV1q1evHuLj42FtbY1///0X58+fh4uLi9Q+0dHRqFevnsZjKWmqVKmC3bt348CBA7h16xbEYjH69euHnj17Sp1b/P39MWrUKKSmpsLHxwdVq1bFzJkzcezYMaxcuVKHr4CIiIqr3NxcnDlzBgDg6OhYYhtdke5YWlpi7969iI+PR05ODj7uETpv3jwdRaYfmIgjhZ05cwYHDx7Ejh07sHnzZnz22WdwcXFB165dS2TGu0yZMnBzc4ObmxtevnyJPXv2YM+ePVi1ahVatGiB3r17o0uXLihTpoyuQ9V7CxYsQFRUFHr06IEyZcpg8+bNMDExwciRIxEUFITNmzejRo0aiIyMlHmsvINWKvk6d+6MKVOmIDg4GK1bt4avry8cHBxw5MgRmWYqxV2rVq0QEhICU1NTGBgYoF27dkhISEBQUBBatWql8ef38vJCYGAgEhIScOXKFWRnZ2Pw4MEAgJSUFOzbtw/h4eGYO3euxmMpia5fvw4rKyv07t0bwIfu37dv30bz5s0l+zRq1AinT59Geno6KlasCOBDzVIAGDlypFa7kxMRUfGT1+AHADw9PeHm5gYvLy/cvn0bAFC1alVERESgZs2aOoySSppff/0VGzduhK2tLcdqBRAJH6cmiRSQlJSE7du3Y9++fXj58iVEIhE8PDzg4+Mj0w1TV+Li4jBixAgkJCSo9bgJCQk4cOAADh06hDdv3uD8+fNqPX5J1LFjR4wYMQL9+vUDAJw4cQJz586Fk5MTtm/fjqFDh2L8+PGFJjUvXLiA3NxctG7dGsCHQauLi4vUoJVKvuzsbISEhKBRo0bo3r07ZsyYgaioKFSsWBGLFy+Gk5OTrkNUm9evXyMwMBDJycn48ccf0alTJwQHB+P69etYtGgRKleurPEYtm/fjs2bN8PAwADDhw9Hly5dAHxoiBMVFQUfHx+MHz9e43GUNAcOHIC/vz98fX3h7e0NAPjpp59w7NgxLFq0SKbzeGHdyZcsWaKL8ImIqBgIDw/HsmXL0L17d5QvXx779+9H9erVkZmZiZkzZ0IsFmPevHmoVq0aFi9erOtwqQRp1aoVAgIC0KtXL12HopeYiCO1eP/+PU6cOIFdu3bhxIkTEIvFaN26NdasWaPR5122bNkn93n06BH279+v1kScWCzG6dOncfDgQRw/fhwVKlTA8ePH1Xb8ksre3h4HDx6UFL5+//497O3tYWpqikWLFhU5w0fRQSuVLmlpabh79y6mTJmiVGOW4iQ7O1svZuCmpKSgTJkyMDc313UoxVL37t3Rt29fDBgwQGr7+vXrsWPHDuzZsweAfnUnJyKi4qVLly4YP348unbtCgC4du0aPD09sWLFCnTo0AHAh/qv48ePlyxVJVKHJk2aYN++fahWrZquQ9FLXJpKamFoaAgXFxe4uLjg9evX2LNnj2QKtCbJ+xyWlpZqeb6rV69i3759iI6Oxtu3b9GxY0eEhoaibdu2ajl+SZeTk4MKFSpIfjY0NETZsmUxbdq0Ty6zW7FiBQICAqQGrUuWLMH69euxdOlSJuJKOTMzM2RlZZXI7p0vXrxAVFQUHjx4gKlTp+LixYuoV68eatWqpdO4qlSpotPnL+4eP34s1X02T955JTo6ulh0JyciIv319OlTODg4SH5u1KgRjIyMpEp5WFtbIy0tTQfRUUnWrl07nDx5El5eXroORS8xEUdqZ2FhgaFDh2Lo0KEaf65jx45p/DkePHiAffv2Yf/+/UhOTkbdunUxYsQI9OjRgzNB1KRRo0af3KeoQevChQs1ERaRzj169Aienp4wMTFBSkoKJkyYgIMHD2LKlCmIiIiQurim4sXS0hIXL16USahduXIFOTk5CAgIKDbdyYmISD/l5OSgXLlyUtuMjY1hbGws+VkkEkEsFms7NCrhGjdujJCQEJw9exa1a9eWes8BwI8//qijyPQDE3FERfj++++RkJAAExMTuLm5wcPDA/b29roOq1grqKGHPE0+ihq0aqNOFpEuBAcHo1OnTggKCkLTpk0BAGFhYfD390doaCj+/PNPHUdIyurXrx/mzJmDx48fSxKq169fR2RkJAwMDEpNd3IiIiIqeTZs2AALCwvcunULt27dkvqdSCRiIk7XARDpMxMTE8yfPx9dunRhW281CQoKkvpb5uTkICQkBJ999pnUfh+3tC5q0DpmzBjNB06kA/Hx8di4caNUstrIyAhjxoyBp6enDiMjVQ0ePBjZ2dlYv349VqxYAQD48ssv4evrC3d391LVnZyIiDRn7dq1Ujd0cnNzsX79eslM68zMTF2FRiWYNlauFWdMxBEVYf369boOoURp0aIF/vnnH6ltTZo0QWpqKlJTU4t8bFGD1o+LnVPJI29jlpJGLBYXuFwkIyMDhoaGOoiI1OXSpUsYMmQIfHx8kJqaCmNjY5iYmEh+7+npCU9PT6nu5Hv37oVIJEJERIRedScnIiL9ZGVlhejoaKltlStXlmlspa562lS6DRo0SK79RCIRIiMjNRyNfmPXVCIqFi5dugQHBwcYGxsXOGilks3Z2VnufUvSHThfX18YGBggJCQEzZo1w969e/H5559j3LhxMDc3x5IlS3QdIinJyckJa9asQcOGDeXaX1fdyYmIiIjkMWXKFLn3/Xj1U2nDRBwRFQuKDlqJSoKUlBQMGjQIb9++RVpaGmrVqoUnT57AzMwMGzZswFdffaXrEElJbm5u+OWXX+Do6KjwY/N3J9+3b58GoiMiIiIiTWEijoiKBVUGrUTF2bt377B//34kJCRALBajbt266NmzJ2eEFnPz58/Hpk2b0L59e1hbW8vUIS3tRYyJiIiISiom4oioWOCglYhKkqKWW4tEIpn6PURERERUMjARR0TFAgetVFrIW+gWYEMZIiIiIqLihl1TiahYKEkF+ImKkr/uW1ZWFg4ePIj69eujcePGMDIywo0bN3Dt2jX06dNHh1GSuly8eBFJSUno1q0bnj9/jpo1a8LIiJdnRERERCUVZ8QRUbHCQSuVJlOmTIGpqSkCAgKkti9atAhJSUlYunSpjiIjVaWnp8Pb2xtXr16FSCTCoUOHMHfuXDx+/Bjr1q1DlSpVdB0iEREREWmAga4DICKSR3p6Ovr27YuBAwdi1qxZSE1NRWhoKHr06IGUlBRdh0ekETExMfjhhx9ktru7uyMuLk4HEZG6hIWFQSQS4fDhwyhXrhwAYNKkSShbtiwWLFig4+iIiIiISFOYiCOiYoGDViqNKlasiFu3bslsv3TpEipVqqSDiEhdjh8/jsmTJ6N69eqSbbVr18aMGTNw9uxZHUZGRERERJrE9VxEVCwcP34cCxcuLHDQOnbsWB1GRqQ5ffv2xYwZM5CUlAQ7OzuIxWLEx8dj48aNmDRpkq7DIxW8fv0alStXltlesWJFZGZm6iAiIiIiItIGJuKIqFjgoJVKozFjxsDQ0BAbNmzA8uXLAQCWlpaYPHky+vfvr+PoSBX29vaIjo7GiBEjpLZv3LgRDRo00FFURERERKRpTMQRUbHAQSuVViNHjsTIkSORmpoKkUgEMzMzXYdEauDn54dhw4bh2rVryM3NxR9//IGkpCTcvHkT4eHhug6PiIiIiDSEXVOJqFiIj4/HsGHD0LZtW5w8eRLdu3eXGrS2atVK1yESacSLFy8QFRWFBw8eYOrUqbh48SLq1auHWrVq6To0UtGdO3cQHh6OW7duQSwWo27duhg2bBgcHBx0HRoRERERaQgTcURUbHDQSqXNo0eP4OnpCRMTE6SkpCA6OhohISGIi4tDREQE3/vFzLJly+TaTyQSsfYlERERUQnFRBwR6S0OWqm0Gz16NCwsLBAUFISmTZti7969sLS0hL+/P168eIE///xT1yGSAmxtbWFgYICqVasWuZ9IJMLRo0e1FBURERERaRNrxBGR3lq2bJncg1Ym4qgkyuuQKhKJJNuMjIwwZswYeHp66jAyUoanpycOHz4MAHBzc4ObmxtsbW11HBURERERaRMTcUSktzhopdJOLBZDLBbLbM/IyIChoaEOIiJVzJ49G4GBgTh37hwOHjyIwYMHo1KlSpLvt5o1a+o6RCIiIiLSMC5NJSK99v79e8mg9ciRIxy0Uqni6+sLAwMDhISEoFmzZti7dy8+//xzjBs3Dubm5liyZImuQyQV5OTk4PTp04iOjsbRo0dRo0YNdO3aFW5ubrCystJ1eERERESkAUzEEVGxwUErlTYpKSkYNGgQ3r59i7S0NNSqVQtPnjyBqakpNm7ciK+++krXIZKaZGdnY8eOHVi4cCEyMjKQkJCg65CIiIiISAOYiCOiYomDViot3r17hwMHDkh1C+7ZsydMTEx0HRqpwYsXL3Do0CHExMTg8uXLsLa2hqurK8aPH6/r0IiIiIhIA1gjjoiKlYIGrQMHDtR1WEQac/36dVhZWaF3794AgPnz5+P27dto3ry5jiMjZaWkpCA2NhYxMTG4cuUKqlevDldXV0yfPp11MImIiIhKOM6IIyK9V9ig1dXVlYNWKtEOHDgAf39/+Pr6wtvbGwDw008/4dixY1i0aBE6deqk4whJEREREYiNjcXVq1dhZWUFV1dXfPfdd2jYsKGuQyMiIiIiLWEijoj0FgetVNp1794dffv2xYABA6S2r1+/Hjt27MCePXt0FBkpw9bWFsbGxmjdujXs7e2L3PfHH3/UUlREREREpE1MxBGR3uKglUo7BwcH7N+/H9WrV5fanpycjG7duuHq1as6ioyU4ezsLNd+IpEIR48e1XA0RERERKQLrBFHRHorrxNqYmIiEhMTC91PJBIxEUclkqWlJS5evCiTiLty5QoqV66so6hIWceOHdN1CERERESkY0zEEZHe4qCVSrt+/fphzpw5ePz4MRwcHAB8aN4QGRmJMWPG6Dg6IiIiIiJSFJemEhER6bHVq1dj/fr1+OeffwAAX375JUaMGCFTN46IiIiIiPQfE3FERER66tKlS3BwcICxsTFSU1NhbGwMExMTXYdFRERERERKMtB1AERERFSwcePG4e7duwAAc3NzJuGIiIiIiIo5JuKIiIj0lIWFBd6+favrMIiIiIiISE3YrIGIiEhPffPNNxg5ciTat28Pa2trlC1bVur37BZMRERERFS8sEYcERGRnnJ2di70dyKRCEePHtViNEREREREpCom4oiIiIiIiIiIiLSANeKIiIj03MWLF7Flyxakp6fj3r17yM3N1XVIRERERESkBNaIIyIi0lPp6enw9vbG1atXIRKJ0KZNG4SGhuLx48dYt24dqlSpousQiYiIiIhIAZwRR0REpKfCwsIgEolw+PBhlCtXDgAwadIklC1bFgsWLNBxdEREREREpCgm4oiIiPTU8ePHMXnyZFSvXl2yrXbt2pgxYwbOnj2rw8iIiIiIiEgZTMQRERHpqdevX6Ny5coy2ytWrIjMzEwdRERERERERKpgIo6IiEhP2dvbIzo6Wmb7xo0b0aBBAx1EREREREREqmCzBiIiIj3l5+eHYcOG4dq1a8jNzcUff/yBpKQk3Lx5E+Hh4boOj4iIiIiIFCQSBEHQdRBERERUsDt37iA8PBy3bt2CWCxG3bp1MWzYMDg4OOg6NCIiIiIiUhATcURERHpk2bJlcu0nEokwduxYDUdDRERERETqxEQcERGRHrG1tYWBgQGqVq1a5H4ikQhHjx7VUlRERERERKQOrBFHRESkRzw9PXH48GEAgJubG9zc3GBra6vjqIiIiIiISB04I46IiEjPvH//HufOncPBgwdx5MgRVKpUSZKUq1mzpq7DIyIiIiIiJTERR0REpMdycnJw+vRpREdH4+jRo6hRowa6du0KNzc3WFlZ6To8IiIiIiJSABNxRERExUR2djZ27NiBhQsXIiMjAwkJCboOiYiIiIiIFMAacURERHruxYsXOHToEGJiYnD58mVYW1tj4MCBug6LiIiIiIgUxBlxREREeiglJQWxsbGIiYnBlStXUL16dbi6usLV1ZXNG4iIiIiIiikm4oiIiPRIREQEYmNjcfXqVVhZWcHV1RXfffcdGjZsqOvQiIiIiIhIRUzEERER6RFbW1sYGxujdevWsLe3L3LfH3/8UUtRERERERGROjARR0REpEecnZ3l2k8kEuHo0aMajoaIiIiIiNSJiTgiIiIiIiIiIiItMNB1AERERERERERERKUBE3FERERERERERERawEQcERERERERERGRFjARR0RERFSKODs7IyAgQNdhyLCxscHSpUt1HQYRERGRRjERR0REREREREREpAVMxBEREREREREREWmBka4DICIiIiLtysnJQVBQEPbs2QNBEODi4gJ/f39YWFggICAAz549Q82aNbFv3z5UrVoV+/btw5s3b7B06VKcOHEC//zzDypUqIAWLVpgypQpqFatGgBg4MCBqFGjBqytrbFp0ya8evUKDRs2xNSpU9GoUSPJ81+4cAELFy7E7du3UbVqVQQGBurqT0FERESkVUzEEREREZUy0dHRcHBwQHBwMF6/fo3Q0FDcu3cPUVFRAIBLly6hbNmyWL58OTIzM2FgYICRI0fizZs3+Pnnn/HFF1/gzp07WLRoEQIDAxEeHi45dmxsLGrXro3p06dDEATMnz8f48aNw7Fjx2BoaIibN29i2LBhcHR0xJIlS/D333/Dz89PV38KIiIiIq1iIo6IiIiolDE3N0d4eDgqVKgg+Xns2LE4deoUACA3NxezZ89G1apVAQApKSkoX748/P390bx5cwBAq1at8PjxY2zdulXq2Lm5uQgPD4eJiQkAICMjA/7+/khISICdnR1WrlyJSpUq4Y8//oCxsbHk+X19fbXy2omIiIh0iYk4IiIiolKmffv2kiQc8KGTqpGRES5evAgAMDMzkyThAKBKlSpYv349BEHA33//jUePHuH+/fuIj49Hdna21LHr1KkjScLlPRYA3r17BwC4fPkyOnbsKEnCAUDnzp1haGio/hdKREREpGeYiCMiIiIqZSpXriz1s4GBAczNzfHvv/8CAD777DOZx+zduxdhYWF49uwZzMzMUL9+fZQrV05mv/Lly8scGwDEYjEA4M2bNzA3N5fax8jISGYbERERUUnErqlEREREpUxaWprUz+/fv0dqaioqVapU4P6XLl2Cv78/OnfujFOnTuH8+fOIiIhA48aNFX5uMzMzvHz5UmqbIAh48+aNwsciIiIiKm6YiCMiIiIqZc6cOYPc3FzJz7GxscjNzUWrVq0K3P/KlSsQi8UYN26cZKnp+/fv8ddffwH4v9lu8nBycsKpU6ckS1UBIC4uDjk5Ocq8FCIiIqJihYk4IiIiolLmn3/+wbhx4/DXX39h06ZNmDFjBtq0aQMnJ6cC92/UqBEAYPbs2Th37hxiY2MxdOhQ3L59GwCQmZkp93OPHTsWmZmZ8Pb2xrFjx7B9+3ZMnTpVqmYcERERUUnFRBwRERFRKdO/f39UqlQJY8eOxeLFi9G9e3csW7YMIpGowP1btWqFGTNm4MqVK/Dx8UFwcDCsrKywbNkyAB8aMMirZs2a2LBhAwwNDeHr64vff/8d/v7+MDU1VctrIyIiItJnIkEQBF0HQUREREREREREVNJxRhwREREREREREZEWMBFHRERERERERESkBUzEERERERERERERaQETcURERERERERERFrARBwREREREREREZEWMBFHRERERERERESkBUzEERERERERERERaQETcURERERERERERFrARBwREREREREREZEWMBFHRERERERERESkBUzEERERERERERERaQETcURERERERERERFrw/wAentL9OyMIGAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# car brands popularity histogram\n",
    "fig, ax = plt.subplots(figsize =(15,5))\n",
    "\n",
    "plt.title('Car brands popularity')\n",
    "ax = sns.histplot(df, x = df.brand, ax = ax)\n",
    "\n",
    "ax.set_xticklabels(labels=df.brand.unique(), rotation = 90)\n",
    "%clear"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "# write here your favorite car brand\n",
    "b = 'Cadillac'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlgAAAHJCAYAAABZtEenAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAABpXUlEQVR4nO3deXhU1f0/8PedfSZ7AlkQUQTDEggJEgRlEy1aBStiq/6IteBCFZdCKWLdpVAXUAvWBRXRol9tC1qsWreqdSGs7myGHSEbyWSd7d5zfn9MZpJJJvskM0ner+fxkdx75+bOdUjenvO5n6NIKSWIiIiIKGR04b4AIiIiop6GAYuIiIgoxBiwiIiIiEKMAYuIiIgoxBiwiIiIiEKMAYuIiIgoxBiwiIiIiEKMAYuIiIgoxBiwiIiIiEKMAYsoQnz33Xf4wx/+gClTpiAzMxMXXHAB7rnnHhw9ejQk5z927BiGDBmCjRs3AgC2bNmCIUOGYMuWLQCAJUuWYOrUqf7jhwwZgtWrV4fke7fWk08+iSFDhuD1118Pun/v3r0YMWIEFixY0KXXFUp79+7FZZddhhEjRuDiiy8O+fnD8d8tXK655hpcc8014b4MoqAM4b4AIgJeeeUVLF++HGeffTZ+//vfIzk5GYcPH8YLL7yA999/Hy+99BKGDh0a0u+ZkZGB119/HYMHDw7peTti3rx5eP/99/Hoo49iypQpSElJ8e/TNA1//OMfkZCQgPvuuy+MV9kxf/3rX3H8+HH89a9/RWJiYrgvp1vrzp8D6vk4gkUUZjt27MCyZcvw//7f/8PatWsxY8YMnH322fjVr36F//u//4PZbMYf//jHkH/f6OhoZGVlITo6OuTnbi+j0Yg///nPcDgceOCBBwL2vfjii/j++++xbNkyxMfHh+cCQ6CsrAzp6emYPHkyRo4cGe7L6dYGDx4cUf+DQFQfAxZRmL3wwguIiYnBwoULG+1LTEzEkiVLcP7556OmpgYA4HQ6sXLlSkybNg0jRozA6NGjMWfOHOzevTvgte+//z4uvfRSZGZmYubMmdizZ0/A/oZThC3Zs2cPbrnlFowbNw4ZGRmYOHEi/vSnP8HpdPqPcbvdeOKJJ3D++ecjMzMT06dPxxtvvNGm+5GRkYHrr78eH330Ef7zn/8AAI4cOYLVq1fjyiuvxKRJkwAAdrsd9957L8455xyMHDkSv/rVr7B58+aAc5WWluKBBx7AeeedhxEjRmDs2LGYP38+jh075j/mmmuuwaJFi3DbbbchKysLc+bMAQD8+9//9t+/cePGYdGiRSgsLGz22ouKinDnnXdi8uTJyMzMxBVXXIGPPvrIv3/IkCHYunUrtm3bFjBd21BT1+RyufDII49g8uTJGDFiBGbMmIF33nmn2WsK1X06cuQIfvvb3+Lss8/GqFGjcOWVV+LTTz8NOM++ffswb948jB49GqNHj8b8+fNbnOJesmQJrrnmGvzzn//Eeeedh+zsbFx77bUBn9eNGzdi+PDh+Mc//oFzzz0XY8eORX5+fqMpwtZ8/j788ENcfvnlGDlyJM4991z86U9/8v/dArx/v+6//35MmjQJI0aMwEUXXYQXXnih2fdAFAynCInCSEqJzz//HFOnToXVag16TMM6ncWLF2P79u1YuHAhBgwYgMOHD+Mvf/kLfv/73+Ptt9+Goij473//i9tuuw0zZszAH/7wB+zevRt/+MMf2n2dRUVFmD17NrKysvDQQw/BZDLhf//7H1588UUkJyfjxhtvBAAsWrQIn376KW666SaMGjUKn376KZYsWQKj0Yjp06e3+vvNnz8fH330ER566CFMnjwZS5cuRd++fXHHHXcA8AaNa6+9FiUlJViwYAGSk5OxYcMGXH/99Xj++ecxfvx4SCkxb948lJeXY9GiRejTpw/27t2LJ554Avfdd1/AL813330Xl156KZ5++mkIIbBjxw4sXrwYN998M3JyclBQUIBHH30Uv//977F+/fqg11xSUoIrrrgCZrMZCxYsQEJCAjZu3Ij58+fjkUcewaWXXorXX3/dPzJ33333YcCAAU3eg4bXJKXE/PnzsXPnTtx2220YNGgQPvjgAyxYsAButxuXXXZZo3OE6j4JITBv3jwkJyfjkUcegcFgwMsvv4ybbroJ7777Lk477TQcPHgQV111Fc444ww8/PDDUFUVTz/9NK6++mr861//QlJSUpPvdffu3Thw4AAWLlyIuLg4rFq1Crm5uXjnnXeQnJwMwDtFvHbtWixbtgxlZWUYNGhQo/O09Pl76623sGjRIsyYMQO/+93v8NNPP+Hxxx9Hfn4+XnzxRSiKguXLl+Pzzz/HHXfcgT59+uB///sfHnnkEcTHx2PWrFlNvgeiRiQRhc3Jkydlenq6fPTRR1t1vMvlknPnzpVvv/12wPa1a9fK9PR0WVRUJKWU8vLLL5e//OUvA4559tlnZXp6utywYYOUUsq8vDyZnp4u8/LypJRS3nHHHfK8887zH5+eni5XrVolpZTys88+k7Nnz5aVlZUB55w+fbqcO3eulFLKvXv3yvT0dLlu3bqAY2655RZ59913t+r91ffNN9/IYcOGydmzZ8uhQ4fK7du3+/e9/vrrMj09XX799df+bUIIOXv2bHn55ZdLKaUsKCiQ11xzjdy2bVvAeZcuXSpHjBjh/zo3N1eOGjVKulwu/7Znn31WZmdnB2z75JNP5OrVq6UQIuj1PvLIIzIjI0MeO3YsYPu1114rzz33XKlpmv/75ebmNvveg13T559/LtPT0xv9t1+0aJE899xzpcfjkVIG/ncL1X0qKiqS6enpctOmTf79FRUVcvny5XLfvn1SSikXLlwozznnnIDPSFlZmTzrrLPkQw891OR7veOOO2R6enrA9y8sLJQjR470/73YsGGDTE9Pl2+++Waj++S7ly19/oQQctKkSfK6664L2P/ll1/K9PR0+fHHH0sppbzwwgsbfV6ffPJJ/36i1uIIFlEY6fV6AN7/O28Nk8nkH3kpLCzEwYMHcejQIXz88ccAvFMkTqcTP/zwA26//faA1/785z/HypUr23WdEyZMwIQJE+DxeJCfn4/Dhw9j3759KC0t9ddD7dixAwAwbdq0gNe294m2zMxMzJ07F8899xyuu+46nHXWWf59mzdvRt++fZGRkQFVVf3bzzvvPDzyyCMoLy9HSkoKXn75ZUgpcezYMRw+fBgHDhzAzp074Xa7A77XGWecAZPJ5P86JycHjz/+OKZPn44LL7wQkydPxoQJEzB58uQmr3fr1q3Izs7GKaecErD90ksvxZ133okDBw60qV6o4TVt3rwZiqJg8uTJAe956tSp2LRpE3788UcMGzYs4Byhuk99+vTB4MGDcc899+Dzzz/HhAkTMGnSJNx5553+c+bl5WHs2LGwWCz+7xUdHY0xY8bgyy+/bPa99u/fH2PGjPF/nZycjOzsbGzbti3guIbvr76WPn/79+9HQUEB5s2bF3AvcnJyEB0djS+++AJTpkzB2Wefjddeew0FBQWYPHkyJk+ejPnz5zd7/UTBMGARhVFcXByioqJw/PjxJo+pqamBx+NBXFwcAOCzzz7D8uXLceDAAURFRWHo0KGw2WwAvFOO5eXlkFIiISEh4Dy+qZb2EELgsccewyuvvIKamhqkpaUhMzMTZrPZf4zdbgeAZqeC2mrixIl47rnnGgUbu92O4uJiZGRkBH1dcXEx4uLisGnTJjz22GM4ceIE4uPjMWzYMFgslkbHR0VFBXydnZ2NNWvWYN26dXjxxRexZs0a9OnTB7/97W+bbAtQXl6OU089tdH2Pn36AAAqKipa9Z6buia73Q4pJUaPHh30+KKiokYBJFT3SVEUrF27Fk8//TQ++OADvPnmmzAajbjgggvwwAMPIC4uDna7He+8807QmrCWnpas/7SoT1JSEn744YeAbb7PeTAtff58+x944IFGD1AA3vsHAHfddRdSU1OxadMmLF26FEuXLkV2djbuv//+kD/JSz0bAxZRmE2YMAFbtmyBy+UKCCw+f//73/Hwww/jn//8J2JiYjB//nxccMEFePbZZ3HqqadCURS88sor+OyzzwAA8fHx0Ol0KCkpCTiP7xdMe/jCxgMPPIBp06YhJiYGAHDFFVf4j4mNjQXgLZhOTU31b9+/fz/sdnvACFRHxcTE4PTTT8eKFSuC7u/fvz+2b9+OO+64A9dccw2uu+46/y/xRx55xD/a0ZyJEydi4sSJcDgcyMvLw8svv4w//elPGDVqFDIzMxsdHxcXh+Li4kbbfdsaBt62iomJgc1mw8svvxx0/2mnnRb0NaG6TykpKbj//vtx3333Yc+ePfjPf/6D5557zt82IyYmBuecc46/IL8+g6H5XzVlZWWNtpWUlLQprLf0+fPtX7x4McaOHdvo9b7/gTGZTLjppptw00034fjx4/j444/x1FNP+WsciVqLTxEShdncuXNht9vxxBNPNNpXXFyMtWvXYvDgwcjIyMD3338Pl8uFG2+8EQMGDICiKADgD1dSSpjNZmRnZ+P999+HlNJ/rv/+97/tvsYdO3Zg8ODBmDVrlj9cFRYWYt++fRBCAIA/QDX8PitWrMCyZcva/b2DGTt2LE6cOIGkpCSMHDnS/88XX3yB559/Hnq9Hl999RWEELj11lv9oUHTNP90le+6g3n44Ycxa9YsSClhtVpx3nnn+QvsmxptzMnJwVdffYWffvopYPumTZvQt2/foAGore+5pqYGUsqA97xv3z789a9/DZj2qv+aUNynr776Cueccw6+/fZbKIqCYcOGYcGCBUhPT/ffD9+TfcOGDfN/nxEjRmDdunX44IMPmn1vhw4dwv79+/1fFxYW4quvvsL48eNbfX9a+vydccYZSEpKwrFjxwLuRUpKClauXIldu3bB6XTiwgsvxNq1awEA/fr1w+zZs3HJJZc0O8pMFAxHsIjCLCsrC7fffjueeOIJ7N+/H5dddhkSEhLw448/4oUXXoDL5fKHr4yMDBgMBjz66KOYO3cu3G43Nm7ciE8++QQA/I+bL1y4ENdeey1uueUWXHnllTh48CCeeeaZdl9jZmYmnnrqKaxZswZZWVk4fPgwnn32WbjdbjgcDgDA0KFDcdFFF+HRRx+F0+nEsGHD8L///Q8ff/wxnnzySQDe0YUjR45g8ODBHeq/dfnll2P9+vWYM2cOfvvb3yItLQ1ffvklnnvuOeTm5sJoNPpHmR588EHMmjUL5eXleOWVV/yP/9fU1DR5DePGjcOLL76IJUuW4NJLL4XH48Hzzz+P+Ph4jBs3Luhr5syZg02bNuE3v/kNbrnlFsTHx+PNN99EXl4eli9fDp2uY/8/O3nyZOTk5ODmm2/GzTffjEGDBuHbb7/FqlWrMHHixKDTcKG6T8OHD4fFYsHixYtx6623ok+fPvjyyy+xe/du/PrXvwYA3Hzzzbjqqqswb948XH311TCbzXj99dfx4YcfYtWqVc2+Nyklfvvb32LBggXQ6/V48sknERcX16Yu7S19/vR6PRYsWIB7770Xer0e5513HioqKvDUU0+hsLAQGRkZsFgsyMjIwJNPPgmj0YghQ4bg4MGDeOONN3DhhRe2+lqIAPApQqJI8cknn8gbbrhBnnvuuXLEiBHyZz/7mbz33nvl8ePHA45799135SWXXCJHjhwpJ0yYIG+55Ra5detWOWTIELl+/Xr/cV988YWcNWuWHDlypPz5z38u//vf/7b7KUKXyyUfeOABee6558rMzEx54YUXylWrVsnVq1fLESNGyPLycv9xK1eulJMmTZIjR46Ul112mXzvvff85/Q9Deb7ni1peI31lZSUyDvvvFOOHz9ejhgxQl544YXyueee8z+tJ6WU69evl+eff74cMWKEnDJlirzjjjvkBx98INPT0+Unn3wipWz6qb633npLzpw5U2ZlZcns7Gx5/fXXyz179jR7vUeOHJG33367HDNmjBw1apS88sor5YcffhhwTGufIgx2THV1tVy+fLmcNGmSzMjIkFOnTpUrV66UTqfTf0z9/26hvE8HDx6Ut9xyixw/frzMyMiQl1xyiXzttdcCru/777+X1113nczOzpZZWVnyV7/6VaP335Dvc/fqq6/Kc889V44ePVrecsst8ujRo/5jfJ+b+tuC3aeWPn9SSvn222/LmTNnyhEjRsixY8fK3/72twH/XSsrK+XSpUvllClTZEZGhpw0aZJ86KGHpMPhaPZ9EDWkSFlvDoGIiKgLLVmyBFu3bu3QFDZRJGINFhEREVGIMWARERERhRinCImIiIhCLOwjWIWFhRgyZEijf3yLoO7evRu5ubnIysrC1KlTG/WAEUL4n6LJysrCDTfc0Ghx0a44BxEREZFP2APWnj17YDab8dlnn+Hzzz/3/3PxxRejrKwMc+bMwYABA7BhwwbMnz8fK1aswIYNG/yvf+qpp/Dqq69i6dKleO211yCEwPXXX+9f4qGrzkFERETkF96HGKVcs2aNnDFjRtB9zzzzjJwwYYJ/EVMppVy5cqWcNm2alNL7SG52drZ85ZVX/PvLy8tlZmamfOutt7rsHERERET1hX0Ea+/evRg0aFDQfdu3b8fYsWMDllkYN24cDh06hJKSEuzZswfV1dUB3X5jY2MxfPhw/yKhXXEOIiIiovrC3sl93759SEhIwOzZs3Hw4EGcdtppuOmmmzBp0iQUFBQgPT094HjfgrUnTpxAQUEBACAtLa3RMb59XXEO32KubSWlhBB8xoCIiKi70OkU/zJlzQlrwFJVFQcOHMDgwYOxZMkSREdH4+2338aNN96IF198EU6nEyaTKeA1vsVwXS6Xf4mOYMeUl5cDQJeco72EkCgtrW7364mIiKhrJSZGQa+P8IBlMBiwZcsW6PV6WCwWAMCIESP8a7BZLBZ/obmPL9DYbDb/a9xut//PvmOsVisAdMk5iIiIiOoLew1WVFRUQLABgDPPPBOFhYVITU1FUVFRwD7f1ykpKf5pvWDH+FaF74pzEBEREdUX1oD1448/YvTo0diyZUvA9u+//x6DBw9GTk4OduzYAU3T/Pvy8vIwcOBAJCUlYejQoYiOjg54fUVFBXbt2oWcnBwA6JJzEBEREdUX1oA1aNAgnHHGGXjwwQexfft27N+/H3/+85/x9ddf46abbsKsWbNQVVWFu+66C/n5+di4cSPWrVuHefPmAfDWTeXm5mLFihX46KOPsGfPHixYsACpqamYNm0aAHTJOYiIiIjqC/tSOSUlJVi5ciU+++wzVFRUYPjw4Vi0aBHGjBkDAPj222+xbNky7Nq1C3379sXcuXORm5vrf72maXjsscewceNGOJ1O5OTk4N5770X//v39x3TFOdpD0wSL3ImIiLoRb5F7y+NTYQ9YvRkDFhERUffS2oAV9iJ3IiIiop6GAYuIiIgoxBiwiIiIiEKMAYuIiIgoxBiwiIiIiEKMAYuIiIgoxBiwiIiIiEIsrIs9ExEREbWFR9UgJaDXK9DrIneciAGLiIiIugVNCBw8UQm3R4NOp0CvU2Aw6GAy6GA06GDQ6aDX66DXKTAb9TCb9GG7VgYsIiIi6hZUTcLp1mDQK9ApgCoE3E4NVUJCExJSAlAUAEBSjBmnp8WG7VoZsIiIiKhb0DQBIQUsJhN0OqXJ4ypr3NDCvBJg5E5eEhEREdWjCgkh0Gy4ihQMWERERNQtaJpEeMelWo8Bi4iIiLoFTRNQuknEYsAiIiKibsGtCShK5E8PAgxYRERE1E14PBr03aD+CmDAIiIiom7C5RHdosAdYMAiIiKibkAICVUTHMEiIiIiChVVExBCMmARERERhYpW262dAYuIiIgoRFRNQBOswSIiIiIKGU1IQCps00BEREQUKqomgO6RrQAwYBEREVE3oGoC6CZd3AEGLCIiIuoG3J7u06IBYMAiIiKibsCjCuh13Se2dJ8rJSIiol5JSAm3qnWbJwgBBiwiIiKKcJomIQSg1zNgEREREYWEJgQ0TUDfTVo0AAxYREREFOFUTUKTstVThDv3FuPVD/bB6VY7+cqaxoBFREREEU0TEqINAWvb3mIcPFGJojJHJ19Z0xiwiIiIKKJpmmh1j1GHS0WN0zty1Tfe2nkX1QIGLCIiIopoqpBobRv3knInACDGZoTVbOjEq2oeAxYRERFFNLdHRWs7NPgCVp84SydeUcsYsIiIiCiiuT2i1S0aSuzeuqskBiwiIiKi4KSU8Kii1QXudSNY4au/AhiwiIiIKIJpQkIVstXrEHKKkIiIiKgFmiahaa0LWKoqUFbpAsApQiIiIqImaUJAiNYt9Hyywjt6ZTbqEWUJ3xOEAAMWERERRTBVkxASrarB8k0PJsaaoYR5WR0GLCIiIopYmpCAlK061h+wYsydeUmtwoBFREREEUvVRGt7jPpbNCTGMmARERERNcmjiVZP99VNEYa3wB1gwCIiIqII5nZrrXqCUAgZUIMVbgxYREREFLHcqmhVwCqvdkOr7ZcVazN1wZU1jwGLiIiIIpIQEqrWui7uxfWWyGlt1/fOxIBFREREEUnVBEQru7hHSgd3HwYsIiIiikiakP5pv5YwYBERERG1gqoJaKJ1U4Ql5d4pwnAv8uzDgEVEREQRydtkVGmxTYOUEiX22hGseI5gERERETWptU1Gq50qnG4NAJAUAT2wAAYsIiIiilCqJgC0vEyOr/4qPtoEo0EHKcMfcML9/YmIiIiCcnta1wPLt0ROn3hv/ZWUEnp9eCMOAxYRERFFJLeqQa9rOao0fIJQSMDAgEVEREQUSEgJj9raJwi9Aauvr0WDBAz68DYbZcAiIiKiiKNpEpoA9K0ISr6AlVQbsCQkdK1cILqzMGARERFRxFE1AaEJ6FsISm6PhopqNwCgb20NFqQS9uVyGLCIiIgo4mhCQpWyxREs3+hVlMUAq9ng3aigxd5ZnY0Bi4iIiCKOpglIKVsMSk0tkcMRLCIiIqIGNCGhyLYvkSOlBCAR5nwVWQHr4MGDyM7OxsaNG/3bdu/ejdzcXGRlZWHq1Kl4+eWXA14jhMCqVaswceJEZGVl4YYbbsDRo0cDjumKcxAREVHotLaLe8MlcqQEdAprsPw8Hg8WLVqEmpoa/7aysjLMmTMHAwYMwIYNGzB//nysWLECGzZs8B/z1FNP4dVXX8XSpUvx2muvQQiB66+/Hm63u0vPQURERKHjVjW0ogVWoylCKb1PEIb7KUJDWL97PatXr0Z0dHTAtr///e8wGo148MEHYTAYMGjQIBw+fBhr1qzBrFmz4Ha7sXbtWixatAhTpkwBADz++OOYOHEi3n//fUyfPr1LzkFERESh5WpFF3dNCJRWuADUbzIqgQgIWBExgrVt2za8/vrreOihhwK2b9++HWPHjoXBUJcDx40bh0OHDqGkpAR79uxBdXU1xo8f798fGxuL4cOHY9u2bV12DiIiIgodKSU8rQhYZRUuCClhNOgQG2UC4O3irtNxihAVFRVYvHgx7r77bqSlpQXsKygoQGpqasC25ORkAMCJEydQUFAAAI1el5yc7N/XFecgIiKi0NGEhCZliyGp/vSg72lDKbwF7q2ZXuxMYQ9Y999/P7KzszFjxoxG+5xOJ0wmU8A2s9kMAHC5XHA4vE8OBDvG5XJ12TmIiIgodDRNQtNki+sQFgdp0SC8M4RhnyIMaw3Wm2++ie3bt+Ott94Kut9isfgLzX18gcZms8Fi8d5Qt9vt/7PvGKvV2mXnICIiotBRhYAQAnpd8zHlZJCAJaWEQa8Pe6PRsAasDRs24OTJk/7icp/77rsP77zzDlJTU1FUVBSwz/d1SkoKVFX1bxswYEDAMUOGDAGALjkHERERhY6mSX8tVXNK7LU9sHxL5MBb5N6a9Qs7W1gD1ooVK+B0OgO2TZs2DbfddhsuvfRS/Otf/8Jrr70GTdOg1+sBAHl5eRg4cCCSkpIQExOD6OhobNmyxR+OKioqsGvXLuTm5gIAcnJyOv0cREREFDqqJrwNrZohpQzaxV1KwBDuAiyEuQYrJSUFp512WsA/AJCUlISUlBTMmjULVVVVuOuuu5Cfn4+NGzdi3bp1mDdvHgBv3VRubi5WrFiBjz76CHv27MGCBQuQmpqKadOmAUCXnIOIiIhCRxOyxSajFTUeuFUBnaIgMdbs3+4dwerkC2yFiOmDFUxSUhKef/55LFu2DDNnzkTfvn2xePFizJw503/MbbfdBlVVcffdd8PpdCInJwcvvPACjEZjl56DiIiIQsPjEa1Yg9A7PZgQYw4oho+UESxFyhbG4KjTaJpAaWl1uC+DiIgoohw6UYGKGre/t1UwW3YV4r2tRzFkQDyunDrYv720woX+ydFIrleXFUqJiVHQ61sOcOGPeERERET1uDxai01Gg9Vf+YR7oWeAAYuIiIgiiCYENNG2JqMBatciDDcGLCIiIooYmiahCdnyCFaQFg0AAKXl9g5dgQGLiIiIIoaqSYgWApbDpaLa6e1j2XiKMPzrEAIMWERERBRBvFOEotmQ5JsejLUZYTbW9WSQ0tvegVOERERERPWomgSk0mybBl/ASmoweiVk7ULPDFhEREREdTQhINF8Bylf/VXfBvVXUgA6KIiANlgMWERERBQ5VFWgpQGopp4gFNL79CFHsIiIiIjqcauixUaeTQUsKQFFxyJ3IiIiogAujwZ9MyNQqipQVukCAPSJC5wiFFJCAWuwiIiIiPyElFA1Ab2+6YB0ssI7emUx6RFlDVxSWdY2GeUIFhEREVEtTRPQRPONQutPDzZ80lBINBvOuhIDFhEREUUEVZMQmmi2yWhzaxAKIWGIgNErgAGLiIiIIoQmJFTZfBf3JpfIgXeKsKUC+a4SGVdBREREvZ6mCUgpW9VkNOgIlgQMDFhEREREdVRNQpFNhyshZLMBS0oJA2uwiIiIiOpoQgDN5KPyaje02oWg46PNQY+JhBYNAAMWERERRQiXR2t2mZvi2vqrpDhL8CcNZWS0aAAYsIiIiChCuNXmnyAsKqstcA8yPQgAUkGz9VtdiQGLiIiIwk5KCY9HazZgHS2qAgCc0jcq6H4FzffQ6koMWERERBR2mpDQZNMBSUqJY8XegHVqcnTQ/YBEhOQrBiwiIiIKP02T0DQJfRNFWCfLnXC4NBj0CtISbY32S4mIWSYHYMAiIiKiCKAKASGarsHyTQ/26xMVtJmofx1C1mAREREReWmahGhmitAXsIJNDwLeJqNgwCIiIiKqo2rCO8/XhJYDloROxylCIiIiIj/NOwQVdF+104OTFS4ATQcsKbwF7s310epKEXIZRERE1Jt5VAGliVRyrHb0qk+cBVazIegxQgKKwk7uRERERH4etekeWEdamB4EvEXuep2OjUaJiIiIfNyqaLJ+6lhRNYDmA5aQEvoIWegZYMAiIiKiMBNSQtWCt2hQNYHjJbUBK6W5ESzAECkFWGDAIiIiojDTNAkhgrdoOHGyBpqQsFkMSIwxN3kO7whWZ15l2zBgERERUVhpQkATEvog9VP12zM0V1/FESwiIiKiejQhIUTwGqyjhS0XuAO1S+UE6fAeLpFzJURERNQrNdXFXUqJo80s8NxQhPQYBcCARURERGGmCYlgPdxLK12ocarQ6xSkJTVe4DlA7VqEkYIBi4iIiMJKa2KZHN/0YL8+UTC0NP2nNL2OYTgwYBEREVFYqZpAsMGnltYfDBQ56xACDFhEREQUZm41eA+s1gYsKaV3BItThEREREReniBd3B0uFSXlTgBA/+SoZl8vZO1CzwxYRERERN7Rp2DrEPpGr5JizYiyGJs/hwB0UBBBbbAYsIiIiCh8NCGhBWnR0Jb6KyEldDqFI1hEREREgK/JqGxyBKs1AUtKQNGxyJ2IiIgIgG8dQhkQjrT6Czy3cgRLAWuwiIiIiAD41iEUAeHoRGkNVE3CajYgKc7S4jlkbZNRjmARERERwTtFCCBgIee66cGoZhd49hES0OsjJ1wBDFhEREQURpomARm8/qp/39Y0GAWEkDBE0OgVwIBFREREYaQJAdTLRlJK/xI5p6a0LmBJKaFvaSmdLhZZV0NERES9ilvVUH/wqazShWqnCp1OQb+k5huM+ggJGCKpCRYYsIiIiCiMPJ7ALu7Hir1PD6Yl2WA0tC6mSClhMHCKkIiIiAhA43UI/dODrVrguU4ktWgAGLCIiIgoTISQ0Br0wPIVuA9oS8CSkdWiAWDAIiIiojDRhAjo4u50qSiyOwAA/dsQsKSCVrVz6EoMWERERBQWaoMu7kdr668SYsyItja/wHN9ChqvZRhuDFhEREQUFpqQUGXdCFZb1h/0kVICkIiwfMWARUREROGhCQnIuum99gUsRNwyOQADFhEREYWJpglvQoK3HqstCzz7+NchZA0WERERUe0IVm0uKix1wKMKWEx69I1veYFnHyEBMGAREREReXk00Wh6sH9ydJueCBTSWyQfYY3cGbCIiIgoPOp3cffXX/Vt3fI4PlJ4C9xZg9XAyZMn8Yc//AHjxo1DdnY2brzxRuzfv9+/f/fu3cjNzUVWVhamTp2Kl19+OeD1QgisWrUKEydORFZWFm644QYcPXo04JiuOAcRERG1jVvVoFcU7wLP7ShwB7xThIrCTu6NzJ8/H4cPH8aaNWvwz3/+ExaLBb/5zW/gcDhQVlaGOXPmYMCAAdiwYQPmz5+PFStWYMOGDf7XP/XUU3j11VexdOlSvPbaaxBC4Prrr4fb7QaALjsHERERtZ6QEqrmHcFyuFRU1ngAAP36tHEES0rodbqIazRqCOc3Ly8vxymnnIJ58+YhPT0dAHDzzTfjF7/4BX788Uds3rwZRqMRDz74IAwGAwYNGuQPY7NmzYLb7cbatWuxaNEiTJkyBQDw+OOPY+LEiXj//fcxffp0/P3vf+/0cxAREVHbCCEhBGDQKygpdwIAYmxGmIz6tp2nXh+tSBLWEay4uDisXLnSH65KS0uxbt06pKamYvDgwdi+fTvGjh0Lg6EuB44bNw6HDh1CSUkJ9uzZg+rqaowfP96/PzY2FsOHD8e2bdsAoEvOQURERG2jaXXrEJZVugB4O7i3lZSAQR/2CblGIuaK7rnnHowfPx5vv/02li1bBpvNhoKCAqSmpgYcl5ycDAA4ceIECgoKAABpaWmNjvHt64pzEBERUdt41yEU0HcwYAkpoW/boFeXiJiAde2112LDhg2YPn065s+fjx9++AFOpxMmkyngOLPZe/NdLhccDu+CkMGOcbm8/7G64hxERETUNqqQEBKhGcGKtB4NCHMNVn2DBw8GACxbtgzffPMN1q9fD4vF4i809/EFGpvNBovF24jM7Xb7/+w7xmq1AkCXnIOIiIjaRtMkZO2fSzsYsHScIgxUWlqKt99+G6qq+rfpdDoMHjwYRUVFSE1NRVFRUcBrfF+npKT4p/WCHZOSkgIAXXIOIiIiahtN1C2TY/cFrOi2BywAEbfQMxDmgFVSUoKFCxdi8+bN/m0ejwe7du3CoEGDkJOTgx07dkDTNP/+vLw8DBw4EElJSRg6dCiio6OxZcsW//6Kigrs2rULOTk5ANAl5yAiIqK2UTUBRQFUVaCitkVDQmw7AlbtWoSRJqwBKz09HZMmTcKf/vQnbNu2Dfv27cOSJUtQUVGB3/zmN5g1axaqqqpw1113IT8/Hxs3bsS6deswb948AN66qdzcXKxYsQIfffQR9uzZgwULFiA1NRXTpk0DgC45BxEREbWNR/X2wLJXeUevTEYdbOZ2VC5FYBd3AFCklLLlwzpPZWUlVq5ciQ8//BCVlZUYM2YMlixZgjPPPBMA8O2332LZsmXYtWsX+vbti7lz5yI3N9f/ek3T8Nhjj2Hjxo1wOp3IycnBvffei/79+/uP6YpztIemCZSWVnfoHERERN3R/uPlqHF6cOJkDV77KB8pCVbM+0VGm89TWuHC4P5xiLWZWj44BBITo6BvRc1X2ANWb8aARUREvZGUEnuP2KFJge8PlOK9rUcx9LR4/Oq8wW0+T1mVG+n94xFtNXbS1QZqbcCKvLJ7IiIi6tE0Ib39qxSlQwXuQtYu9MwaLCIiIurtNFHXxb1DLRoEoIOCCGyDxYBFREREXUvTJITwriHoK3Jvbxd3nU7hCBYRERGRkBKa8LZp6GgXd0WnRORThAxYRERE1KU0TQAAqhwqVE1CUYC46LY/BSikhALWYBERERFBExKQCspqpwfjokzQt6OQStY2GeUIFhEREfV6qpCAApRVtH96EACEBPT6yAtXAAMWERERdTHVI6DrYP0V4B3BMkTg6BXAgEVERERdzK1q0OnqpgjbPYIlZKuafoZDZF4VERER9Vju2nUIfVOEiTGWdp1HSMAQiU2wwIBFREREXUgICVUT0NcbwYrvyBShITKnCNuxbDURERFR+2hCQEhACIEapwoASIhp/0LNkdiiAWDAIiIioi6kahJCE6iscQMArGYDLKZ2xhEZmS0aAE4REhERURfShIQmJcqrvQGrvQXuACAVQInQESwGLCIiIuoympCQErDXBqzEDgQsBeAIFhEREZGmCUBKfw+sjhS4AxIRmq8YsIiIiKjrCF8X90pfi4b2BixE7DI5AAMWERERdSGPJqAoSkhGsHSKErFPETJgERERUZfxqAIAYK/q2AiWkAAiOGB1qE1DeXk5tm/fjqKiIlx44YWw2+0YOHBgxFb0ExERUXh5VIFqhwdSAnqdghibsV3nEVJCp1MQoY3c2x+wnn76aTz77LNwOp1QFAWZmZl44oknUFZWhrVr1yI2NjaU10lERETdnJQSHlVDZY0HgLdFQ3sHZaTwFrj3qBqs9evXY/Xq1ZgzZw7+/ve/11byA7m5uTh69Cj+8pe/hPQiiYiIqPvz9sACKkLQA0tIQFEit5N7uwLW3/72N9x44424/fbbkZGR4d8+efJk/O53v8N///vfkF0gERER9QyaJqFpEvZqb/1Vh5qMSgm9ThexZUntCljHjx/H2LFjg+4744wzUFJS0qGLIiIiop7Huw6hQHlVKEawJPQROj0ItDNgpaWl4auvvgq67/vvv0daWlqHLoqIiIh6HlVICFH3BGHHRrAAgz5CK9zRziL3K664AqtXr4bFYsGUKVMAADU1NXjvvffw7LPPYs6cOaG8RiIiIuoBNE1CComyyhCNYOlDdWWh166AdcMNN+DYsWNYsWIFVqxYAQD49a9/DSklLr30UsybNy+kF0lERETdnyYEnB4NLo8GAIiP7uAIVqT2aEA7A5aiKHjwwQcxd+5c5OXlwW63IyYmBjk5OUhPTw/1NRIREVEPoAnpf4IwxmaE0dD+gCQloOtpU4QAcOTIEWzfvh1XXXUVAGD//v3YsGEDcnNz0a9fv5BdIBEREfUMbo+GipqOTw/6RHCNe/uK3L/++mtcdtlleOGFF/zbKioqsGnTJsycORP79u0L2QUSERFRz+BRBSpDFbBq1yKMVO0KWCtXrsTo0aPxxhtv+LdlZ2fjo48+QmZmJh555JGQXSARERH1DB5VoDwETUYBABHcxR1oZ8D64YcfcN1118FisQRsN5vNuPbaa/HNN9+E5OKIiIioZ9CEgCZkkz2wVFVArV0IunUid6FnoJ0By2KxoLCwMOi+srIy6CK4qp+IiIi6nqZJiPoBq8EThBU1bv/oVkuklD1zBGvixIlYtWoV9u7dG7B9//79WL16NSZNmhSSiyMiIqKeQRMSbo+GSkftQs+xdQHLu6axAp1OgRCyxXMJWbvQcwSPYLXrKcJFixbhqquuwsyZM9G/f38kJiairKwMR48eRf/+/bF48eJQXycRERF1Y5qQKK3t4G4y6mAz10UQt0fAZNRDpwAujwarufl4IgWgg4JInjBrV8Dq27cv3nrrLWzcuBE7d+6E3W5HSkoKcnNzcfnllyMqKirU10lERETdmKaJgOnB+os0uzwaoixGmE06FNudLQYsISUUXWTXYLW7D5bNZkNubi5yc3NDeT1ERETUA9VvMlp/ehDwPl0YE2WCUa9DoXC0eC4pvfVXkVyD1eqA9eSTT+KXv/wlUlJS8OSTTzZ7rKIomD9/focvjoiIiHoGVci6Fg3RgfVXOkWBxaSHyaCD0aCHR9VgNDS90KCQEgp6SA3Wk08+iUmTJjFgERERUZupHlE3glWvRYOv/spq0sOg18Fq1sPpVpsNWN5QpusZI1h79uzx/3nXrl1sxUBERESt5la1oFOELo+GaKvRH6hibSZ/t/emCAkYDZEbroB2tmm49NJL8fHHH4f6WoiIiKiHcnk0lNc0niL0qAIxNpP/a5vFO/bTXLsGKSUMETx6BbQzYJ04cQJWqzXU10JEREQ9kJAS9ioXNE1CUYC4aG+gEsL7NKDFVDcdaDUbYDEZ4PJoTZ9PSOj1kT2T1q6rmzFjBtatW4eioqJQXw8RERH1MJomUVbpHb2KizJBX1tm5FY1mI16WEx1FUsGvQ7RVmPzAUsChggvVWpXm4ZDhw5h+/btmDx5MuLj42Gz2QL2K4qCDz/8MCQXSERERN2bJgTKKp0AGhe4x9qMMBoCw1K01Yhie9PtGqSU0Ed4DVa7AlZaWhpmzJgR6mshIiKiHkgT3ilCAEiMsfi3q5pEtNXU6Hir2QCjXgePKhqFLx99BLdoANoZsP785z8DAD7//HNs27YNdrsdSUlJGD9+PHJyckJ6gURERNS9aVpdD6z4mLr6KyiAJUjXdrNJD4vZW4cVNGDJyG4yCrQzYJWXl2PevHn45ptvoNfrER8fD7vdjqeffhqTJk3C6tWrYTI1TqRERETU+2hC+pfJ8Y1guT2++qvG/a50ioLYKCOOF3uAIM/USQUBS+1EonZViC1fvhwHDx7E6tWr8d133+Hzzz/Ht99+i7/85S/4+uuv8fjjj4f6OomIiKib0jRRbwTLW4PlUgWizN7mosHYzEZA8dZbNaQAET+C1a6A9cknn2DRokW44IIL/AlSp9Nh2rRpWLBgAd56662QXiQRERF1X1UON5xu71OBibUBS1WD11/5WM16mI36Jp4mlIjwfNW+gCWlRJ8+fYLuS0tLQ01NTYcuioiIiHqOwjLvE4Q2swFmkx5CSOh0weuvfIwGPaIsBrjcgQFLCO/ahT1yBGvmzJl4+umnUV1dHbBdVVWsX78eM2fODMnFERERUfdXUu5tueCfHmym/qq+GJsJqhY4RehbHDqSF3oG2lnkbrVacejQIZx//vk4//zzkZKSgrKyMnz66acoKChAXFwc7rzzTgDeIrTly5eH9KKJiIioe5BSoqTcO4Llmx50ezTERZmbrL/ysdbWaKma8B8rJICeGrA2bdqE6OhoAMDmzZsD9qWmpmLnzp3+ryO9yp+IiIg6jyYkyiq9PbB8I1iaJhFtM7b4WovJAItJD5dbg8HqDVhSSuh0CiK8kXv7AtZ///vfUF8HERER9UCBTUbN0ISATqcELI/TFJ1OQUyUCYUnaxBV267BW4MV+QM4EZ7/iIiIqDtzezTYa3tgJcSY4fYImFpRf+UTZTZAoq5dg5CAovTQNg1ERERErVFe7UZlTV3Acnk0RFuNLdZf+VjNBpgMOrg9AkDtOoQ6XcTXYDFgERERUafQhMCx4ipICeh1CmJsRmiaRJSl5forH5NRD5vF4O+HJaSEPsJHrwAGLCIiIuok1U4VBaXe3pgJMWZvONIrsJhbNz3oE2szwaN6pwilRKtHv8Ip8q+QiIiIuqUqhwcVDeuvDK2vv/KxWgzQ67xL7nhDWmdcbWgxYBEREVHIqZqAvdKFaqcHQGD9lb6NPRYsJj3MJu+yOVIChkjv0YAICFh2ux333nsvJk2ahNGjR+Pqq6/G9u3b/fs3b96Myy+/HKNGjcJFF12Et99+O+D1LpcLDzzwAMaPH4/s7Gz8/ve/R2lpacAxXXEOIiIiqlPjVOFy1z1BmBhrgdAkoq2tr7/y0et0iLWZ4PYISAnoOEXYsoULF+Krr77CY489hg0bNmDYsGG47rrrcODAAezfvx/z5s3DxIkTsXHjRvzyl7/E4sWLA5qb3n///fj888+xevVqvPTSSzhw4ABuu+02//6uOgcRERHVqarxjlz5arCS4y3Q63Vtnh70ibIaodW2augGNe7tazQaKocPH8YXX3yBV199FWeddRYA4J577sFnn32Gt956CydPnsSQIUOwYMECAMCgQYOwa9cuPP/88xg/fjwKCwvx5ptv4plnnsGYMWMAAI899hguuugifPXVV8jOzsZLL73U6ecgIiKiOqomYK92QRMSlbVBKy7aDJNRB3M7A5bVZIDJoIfDpUZ8iwYgzCNYCQkJWLNmDUaOHOnfpigKFEVBRUUFtm/f3ijAjBs3Djt27ICUEjt27PBv8xk4cCBSUlKwbds2AOiScxAREVGdaqcKp1sL6OCuAO2qv/IxGXWwmQ3ehZ67wRBWWANWbGwsJk+eDJPJ5N/23nvv4fDhw5g4cSIKCgqQmpoa8Jrk5GQ4HA6UlZWhsLAQCQkJMJvNjY4pKCgAgC45BxEREdWprHFBAVBY5p0eTE2yQRNt63/VkKIoiI0yQa+P/IWegQiowapv586duPPOOzFt2jRMmTIFTqczIHwB8H/tdrvhcDga7QcAs9kMl8ubmrviHEREROSlagIV1R5YzHoUljoAAH3jrTDoda1af7A5VrMBVpOeI1ht8eGHH2Lu3LnIysrCihUrAHhDTsMA4/vaarXCYrEEDTgulwtWq7XLzkFERERe1Q4PXG4NZqPeX+CeFOutv2pvgbuPxaSH1WyAkU8Rts769etx66234rzzzsMzzzzjn65LS0tDUVFRwLFFRUWw2WyIiYlBamoq7HZ7o/BTVFSElJSULjsHEREReVU63FAU70hWSbkTABAfY0aMzdjhkSeDXocBKTHtLpTvSmEPWK+++iqWLl2K2bNn47HHHguYihszZgy2bt0acHxeXh5Gjx4NnU6Hs846C0IIf6E6ABw8eBCFhYXIycnpsnMQERER4FEFyqs9MJv0KCrzTg9GWQywmoywmdtff1Wf0g3qr4AwB6yDBw9i+fLl+NnPfoZ58+ahpKQExcXFKC4uRmVlJa655hp8++23WLFiBfbv34+1a9fiP//5D66//noAQEpKCi655BLcfffd2LJlC7799lssXLgQY8eORVZWFgB0yTmIiIgIqHZ6pwctprrpwZREG4x6pcP1V92NIsPYZ+CZZ57B448/HnTfzJkz8dBDD+F///sfHn30URw6dAj9+/fHrbfeiosvvth/XE1NDZYvX4733nsPADBp0iTcfffdSEhI8B/TFedoD00TKC2t7tA5iIiIIsWRwkqcrHAiIcaMf395CDv3lWDc8GRMyOyHIQPi292iIZIkJkZB34oasLAGrN6OAYuIiHoKj6ph39Fy6HWAxWzA8//eheMlNZg+/jSMOCMJ6afGh/sSQ6K1Aav7R0kiIiIKuyqHCqdHhdmkhxDSX4OVFGeBydD74kbve8dEREQUcpU1buhrV2MpKXdC1SRMBh1ibEaYusFTf6HGgEVEREQd4vZoqKjxNhcFEFDgDqBb9K0Ktd73jomIiCikqp0qXB4VZmNgwEpNtAHS27+qt+l975iIiIhCqrzKBb1O8feoqgtYVkBRoO8GS9uEGgMWERERtZvLo6HK4YG1ts+VlBIFJ70BKznBBp0OMOgZsIiIiIhardrhgcujwWT0RoqKajecbg06RUFirAk6Rdcj+l+1Ve9qq0pEREQhVVHthkHfeHqwb7wFiqLAoAf0HMEiIiIiah2XW0OlwwOLuW68pqDU2/8qNdEGTUjodazBIiIiImq1aqcHbo8IaCTqq79KSbRBCG8vrO6yQHMocYqQiIiI2sThUlFR7UZppQtGgxIQoPxPECbZoGkSRmPvHMthwCIiIqIWCSFR5fDAXuWCvcoNjypgMXs7tfs4XCrKq90AvC0aahwaTMbeGTV657smIiKiVvF2aXejtMKFaocHigLYLAbERhkbHesbvYqPNsFiMqDGqcLQC+uvAAYsIiIiakBKiWqniooqN8qqXHC6VZiMOsRGG5ttuVB/etBLgb4XdnEHGLCIiIiogUqHB4dOVEJVBWwWPRJjza0qVPcVuKfWFrgrSu9sMgowYBEREVEDbrcGj6ohKc7SptfVX4PQ26JB1ytbNABs00BEREQNOD1qm4ORRxUoKXcCqBvB0uuVXrnQM8CARURERA04XFqbg1GR3QEpvQXwMTYjNCGgV8ARLCIiIiJNCHhU0eblberXXymKAk1IGI36XtlkFGDAIiIiono8qoCqyTaPYBXWq78CAK22i3tv1XvfORERETXiDVham5/+O+EPWFYAgBSA2agP+fV1FwxYRERE5OdRBSDRpqk9ISSKyuoWeQYAKdFsz6yerve+cyIiImrErWptrpsqrXDCowoYDTokxta2dlBkr+2BBTBgERERUT1Ol9b2Avfa6cHkBCt0OgVSSkDpvV3cAQYsIiIiqiWlhMvT9vqrglLv9GBavQJ3g6L02hYNAAMWERER1VI1AY8m2zzy1HANQk1I6PS6XttkFGDAIiIiolrteYJQSukPWCm+ESxNQq9Dm6caexIGLCIiIgLgDVi+NQRbq7LGgxqnCkUBkuO9LRqEkDAadND10iajAAMWERER1fK1aGgL3+hVnzgLjLWNRTUhYDL03h5YAAMWERER1WrPIs8FDTq4A7Vd3I29O2L07ndPREREfu1Z5LlhgbuX0qsL3AEGLCIiIkJoFnn2k2DACvcFEBERUfi1Z5Fnp0uFvcoNoP4SORJQZK/ugQUwYBERERHa16KhoHb9wbgoE6xmAwDvE4QGXe/ugQUwYBERERHat8hzYRMF7jpd7+7iDjBgEREREdq3yLO//iqpccDiCBYRERH1eh1Z5LnhCJZBr4OOI1hERETUm7VnkWdVEyi2OwEAqYlW/3YhJMzG3t1kFGDAIiIi6vVUzdeioXWxwKNqeGfzYQgpYTXrERtl8u/ThISxlzcZBQBDuC+AiIiIwsujCqhCwKpveeSpqMyBDZ/u949enZd9SkDtlhASpl5efwUwYBEREfV6rVnkWUqJr/NP4t28I1A1gWirETMnDcTAtNjAAxWl1SNhPRkDFhERUS/X0iLPLo93SvC7A6UAgDP6xWLmxIGIshoDjpNSQgHaXCzfEzFgERER9XLNLfJccLIGGz7dj5MVLiiKd0rw3JGpQVs6CCmh0wGGZkbCegsGLCIiol4u2CLPUkrs2FuM97YehSYkYm1GXD75DAxIiWnyPJrmnWbkCBYDFhERUa/mW+S5fosGp1vFv788jF2HygAAZ/aPwy8mDITN0nxsEMK7BmFb2j30VAxYREREvZhHFVBVAWu98LTp80PYc8QOnaLg/DGnYNzwlFZ1efc1GW2uWL63YMAiIiLqxXwtGnyjTpoQyP+pAgDw/352Js7oF9vcywNoQiLKwiajABuNEhER9WoNF3kuLHVA1QQsJj0GpjVdbxWMJiRMBgYsgAGLiIioV2u4yPNPxdUAgFP6RrV58WcpwS7utXgXiIiIerGGizwfK64CAPTvG932k0nZZLuH3oYBi4iIqJeSUsLpVgOe+qs/gtVWiqI0avfQW/EuEBER9VKqJqBq0h+KapwelFa6AACn9GlbwBJCQlHAFg21GLCIiIh6Kd8ThL4pwmO1o1d94iywmtvWaEATEjodWzT48C4QERH1Ug0Xee7I9KBWG9TYxd2LAYuIiKiXarjIc0cK3DUhYdApLHKvxYBFRETUS9Vf5FkIiZ9KvCNY/dsxgiWEhNGga3Nrh56KAYuIiKiXqr/Ic0m5E26PgNGgQ994a5vPpWkSJvbA8uOdICIi6oVULXCR559qpwdP6RMFXTum+YQETEauwOfDgEVERNQLqZp3kWffCNaxDhS4e3lrsMgrogLWs88+i2uuuSZg2+7du5Gbm4usrCxMnToVL7/8csB+IQRWrVqFiRMnIisrCzfccAOOHj3a5ecgIiIKp7JKF06crG718Y1bNHSggzu8tfJ6Nhn1i5g78corr+CJJ54I2FZWVoY5c+ZgwIAB2LBhA+bPn48VK1Zgw4YN/mOeeuopvPrqq1i6dClee+01CCFw/fXXw+12d+k5iIiIwknVBE6WO1Hj9LTq+PqLPDvdKortTgDtG8ESQkKn8AnC+sI+WVpYWIj77rsPW7Zswemnnx6w7+9//zuMRiMefPBBGAwGDBo0CIcPH8aaNWswa9YsuN1urF27FosWLcKUKVMAAI8//jgmTpyI999/H9OnT++ScxAREUWCKocHxXYHBqQYWnyar/4iz8dLagAA8dEmRFuNbf6+oraXFru41wn7CNYPP/wAo9GITZs2YdSoUQH7tm/fjrFjx8JgqMuB48aNw6FDh1BSUoI9e/aguroa48eP9++PjY3F8OHDsW3bti47BxERUSTQ6RSUVbpQWdPyKFb9RZ47Oj3obVaqsIt7PWEfwZo6dSqmTp0adF9BQQHS09MDtiUnJwMATpw4gYKCAgBAWlpao2N8+7riHH369GnFOyUiIupcBp0OUIBiuwPRVmOTTwM2XOS5Ix3cAV/A4jqE9UV01HQ6nTCZTAHbzGYzAMDlcsHhcABA0GNcLleXnYOIiChSxNiMKK92w17V9O8nj1q3yLOU0v8EYXsajALeZXKMBj2bjNYT0QHLYrH4C819fIHGZrPBYrEAQNBjrFZrl52DiIgoUuh1OhgNCortDm8hexCqJqBq3hYNZZUuOFzeju6pie37nSYEm4w2FNF3IzU1FUVFRQHbfF+npKT4p/WCHZOSktJl5yAiIook0VYjqhwelFU6g+73qAKalNDpFP/oVVqSrd1tFoQAzEZ9u6+3J4rogJWTk4MdO3ZA0zT/try8PAwcOBBJSUkYOnQooqOjsWXLFv/+iooK7Nq1Czk5OV12DiIiokiiKAqsZgOK7U443Wqj/fUXefZ3cG9ngTsASAkWuDcQ0Xdj1qxZqKqqwl133YX8/Hxs3LgR69atw7x58wB466Zyc3OxYsUKfPTRR9izZw8WLFiA1NRUTJs2rcvOQUREFGlsFgOcbhUnyxuPYtVf5Nk3gnVqcns7uANQJAvcGwj7U4TNSUpKwvPPP49ly5Zh5syZ6Nu3LxYvXoyZM2f6j7ntttugqiruvvtuOJ1O5OTk4IUXXoDRaOzScxAREUWaaJsRJ8udiIs2B/S38i3y7FE1FJZ6H/Zq7wiWlBJQFHZxb0CRUspwX0RvpWkCpaWtX9aAiIioKcV2B44WViExzhywvazChYQYMwakxkCnKFA1gX1H7dApQKHdgZfe3YsYmxG/+2Vmu54CVDWBGoeKM0+Nh9Uc0eM2IZGYGNWqMMm4SUREFGKqJlDlaN2SNZ0txmZEWZULldXep+E9at0iz/X7X7W3xYImJHR6dnFviAGLiIgoxGqcKgpLa6BqwdskdCWDQQedTkGx3QlNeNsz+BZ57mgHd8C3TA4Xem6Id4OIiKgTON0aalyNn+DrLJommux7FWM1orzGBXulO+AJwmNFHevg7v2+3oalOjYZDcCARURE1AlcHhXVXTRNKKTEqg3fYv0He1FZ4260X6dTYDbqUVzuQI1ThaIoqKjxoMrhgaIA/ZLa3zRbk5I9sIJgwCIiIuoEUgIV1W4I0fnPkh08UYGCUgeqnSreyTuCYM+vRVkMqHZ44HCr0OsVf/+r1EQbjIb2ByRNEzAZGCca4h0hIiLqJA6X2iXThN/kn/T/ee8RO3YfLmt0jKIosFkMKK9yw6Cv6+DekenB2jPDwIDVCO8IERFRJ1AUBZqQqHF2/jTht/klAIC+cd71dd/NO4IaZ+NgZzUbYLPoYTEZQlLgDgBgF/egeEeIiIg6icmog73KHXTKLlRKK5w4UlQFBcAl409H33gLqp0q3tt6JOjxNosRUkqcKKkBEHwES1W9bSZaum5vk1F2cQ+GAYuIiKiTWEwGOF0qHC6t5YPb6dv93unBASkxiLYacem5p0NRgO8OlOLHY/agrykoc0ATElazHokx5kb7K2s80CkKSitc0JppNeFt0aCDgS0aGuEdISIi6iRGgw4eTaDG1XnThN/UTg8OOy0BgHfJm7OHpwAA3v7yMFzuxuHuWFHdAs8NG4yqmoCieIvfk2ItsFe5g54D8DYZ1esU/7qGVIcBi4iIqBMZDTpUVDdunRAKLo+GXbUF7UNPi/dvPy+7HxJizKio8eDDHccavc7Xwb1/kOnBaqeKGJsJ8TFmnJoSjX59o+Bwq6isaTzVqQkJnU7hCFYQvCNERESdyGLSo9qpNjkK1BF7DpfBowokxZqRmljXy8po0GPGOacBAHbsLcahExUBr/MVuDesvxJCQtUEEmMt0CkK9Dod0hKjMDA1FnqdDmWVgW0nNFHbZJQjWI0wYBEREXUio0EHt6dzurp/U1t/lTm4T6OpvtPTYnFWel8AwFtfHoZH9Qa8KocH9irviNopfQIDlsOlIspiRIzNGLA9LtqMgWmxiI8yobTSBbfHey4hJMxGRolgeFeIiIg6kaIo0OuVoB3WO0JK6a+/GjWoT9Bjzh9zinex50oXPv7qOIC66cG+8RZYTIaA451uDYkx5qBTflazAQNSY9AvMQrVTm+Xek1IGNnFPSgGLCIiok5mMelRWePxjyKFwtGiKpRVumAy6jCsXv1V4Pc14JLx3qnCLbsK8VNxVZP9r5xuFWaTAXFRjZ8q9DHodUjrY8NpKTGQUOByazCx/ioo3hUiIqJOZjbq4fJoQZt/tpdvenD4aYnNLnWTfmo8Rp6RCCmBTV8cwpHC4PVXNU4NCdEmmE3Nj0gpioLEWAsGpsUgOcHKEawmGFo+hIiIiDpCURQo8NY/xUU3PULUFr7u7aMGJ7V47IVjT8X+4xUotjv92+qPYHlUAb1OadO1RVmMOD0tFixvD44Bq4fZfagUn35zHPHRZqQkWJGcaENKvNX7RAif8iAiChuzSY/yajdSEkWH2xpUVLtx4Lj3ycDMJuqv6rNZjPj52QOw4dMDALwd5vvULqsDANVOD+KiTIiytC0W6BT+XmkKA1YP89l3J7B1d1Gj7Qa9gr7xViTHW5GSaENyghXJCVakJHgbyTF8ERF1LkttwHK4vH2mOuK7AychAZyWEoOEIJ3Ygxl+egK+PxCPvUftOKVPlP/nvhASUgAJMZZGTyJS+zFg9TCzf5aOM0+JQ2GZA0VlDhSW1aDY7oCqSZw4WYMTJ2uA/ScDXqPX1YaveqHLN/qVFGvmIp5ERCGg0ymQwjta1NGA9U2Q6UEFgICElDJoUFIUBTPOPQ0J35kx8oxE//YapwqbxdCoNQN1DANWDxNlMeK80f0DtgkhUVrhRKG9NnSV1qCozIGi2q9VTaCgtAYFpTWNzqfXKegTZ/GOejUY/eoTZ2H4IiJqA7NJh/IqN5Ljbe2eOVA1ge8PlgIARg2umx6MiTIhLsqEsko3EmJMQUOWzWLEtJxT/V9LKeHyaEhNtPHneYgxYPUCOp2CPvFW9Im3IuP0wH1CSJRVulBYVuMf8Sryj355w1dh7Z8b0usUJMVZkJJgazT6lRRn4dIJREQNWEx6VDo8cLi9DT3bY99RO5xuDbFRJpyWGuPfbjbq0b9vNI4UVqK8yoP4mJZHyZxuDRaTATFRHRtRo8YYsHo5XW1ISoqzYPjpgfuElLBXulBYWhM4+lX7Z48q/GGs0XkV78iXL3T5A1iiDX0Yvoioh9t9uAybfyjAz88eEND2QK/XQdO803LtDVjf5Nd2bz8jqVGRudVsQP/kaBwuqER5tRtxLQQnh0tFakIUzGy1EHIMWNQkXW2vk8RYC4Y12OcLX41Hvbx/dqvCG8TsDv9Qto+ioDZ82QICWEqCFX3jrQxfRNStqZrA/324DxU1HpiNevx83ICA/SajAnuVC33i2l5UHtC9vYn2DFEWI/onR+NIQSWqajyIbqK2yqNqMOh0rRrporZjwKJ2qR++hp6WELBPSgl7lRtFZTW104u104+lDhTZa+D2CBTbnSi2O/HDwcDzKgqQFGvxFtn7iu1rA1jfeCuMBoYvIops3+SXoKLGAwDYvrcIWWf2QVpS3ULMFpMeDqcKp1uD1dy2X8MFtbMIep2C4acnNnlcrM2EU/pG42hhpb+IvaFqh4r4aHObr4Fah3eVQk5RFCTEmJEQY8aQAY3DV3m1219o733ase7PLo+GknInSsqd+OFQWeB5ASTGWpCSWBu64q31/mxptpMxEVFX+eRr75p/RoMOHlXg3bzDmHPxUP9oldGgR4XmQY1TbXO48U0PDh0Q3+JrE2LM0ITA0aIq6HQIWHdQEwJCAgmxbM3QWRiwqEspioL4aDPio4OHr4pqd+CoV20AKyxzwOXWcLLCiZMVTuwKGr7MjUa9fNOOJtYXEFEXKLI78ENtWcSMc07Hv788hGPF1fgm/ySyzqx74s9g0KGixoWkes0+W+Pb/d7pwczBLTcXBbwzApom8VNJNXSK4v9ZWONUEW01IsbK1gydhQGLIoaieJdpiIs2I/3U+IB9UkpU1Hi8Yat2qrGwtK7uy+nWcLLChZMVLuw+XNbo3ImxZiTH1047JlqRHO/9d994K4s7iShkPvvGO3o1ZEA8+vWJwuSsfvhg+zF8uP0YhtQbdbKY9Kh2qHB5tFb/DKpxevDjsXIAwKhBLS+PA3h/rvZNsELTJE6UViMuSoFer8DtkeiXxCbTnYkBi7oFRVEQV9vj5cz+8QH7pJSorPH4w1b9Ua+isho4XBpKK1worXBhzxF7o3MnxNQuKxSk7ovhi4haS9UEPvv2BADgnIxUAMDY4cn4Or8ExXYnPv7qJ1w87jQAgMmgQ5XDO03Y2p8z3x8shSYk0pJsSE6wtfyCWjpFQWqSDZr0PvltNuphNesRG8XRq87EgEXdnqIoiI0yITbKhMH94wL2SSlR5fDUha5SX4NV759rXCrKKl0oqwwevuKjTfVCV2DLifr1DEREX/9Ygora1ggjBibiYEEl9Dodfn72ALz83j5s31OMrMF90K9PFBRFgV5RUFnjbvVSN776q1GtnB6sT6dTkJYUBU2TKLI7cGpyNOtWOxl/Q1CPpigKYmwmxNhMGHxK4/BV7VTrFdwH1n1VO1XYq9ywV7mx76i90bnjok1Iia9dULve6FffeCufyiHqhT79+icAwITMNOjrtZs5PS0WI85IxPcHSvFu3hHMvcRb8O5rOupRRYtPSAsh8d2B2oDVyunBhgx6HU7pGwWDQdfqUEftx98C1GspioJoqxHRp8RhUIPwBQBVDk+D4FXX76vK4UF5lRvlVW7sq62JqC8uyhTQ3b7+vxm+iHqeorIa/HCoDAqASaP6Ndr/szH9se+oHT+VVOOrH0swOr0vzCY97JVu1LhUxBma70V14HgFqhwe2MyGRiP1bWE0eLu9U+fjT3qiJkRbjYi2GnFGv9hG+6qdnoB1HevXfVU5PCivdqO82u0vSK0v1mb0jnrF13W39wUwhi+i7unT2uL2jIGJ6BtvRUW1O2B/jM2EKVn98P62Y/hox08YOiABNosBEhKaJlo8/ze1Tw+OHJTENQO7Cf40J2qHKIsRA9OMGJjWOHzVOH01X4273FfWeFBR40FFTTnyg4SvGJsx6KhXSoIVtnYuq0FEnUvVBL6oLW6fnHVKk8flDEvG1z+eRJHdgY93/oRLzjmt1d/D3729ndOD1PUYsIhCzNZs+FJRZK836uVb57G0BhU1HlTW/rP/p4pGr422Ght0uK8b/WrvmmZE1HFf/ejt3B4XbWpy+RoA3oL3cQPw0n/2Yse+YmSl94HV1HKheUm5A8eKq6EowIgzGLC6CwYsoi5ksxhwemosTk9tHL4cLrXJmq/yajeqHB5UOTzYf7xx+IqyGAKmGuvXf0WzkSBRp/rkK29x+8TMtBbXUj0tNQYjz0jEdwdK8e7mw7hs0sAmjxVCIv+ncny44xgA4MxT4vj3uRthwCKKEFazAaelxuC01JhG+xwuFcX2wFov3+hXeZUb1U4VB45X4EAT4StYq4mURBuiLAYuk0HUAYVlNdh9uOni9mB+NuZU7DtajuMna7DrUBnOSKsrWveoArsPl2HnvmJ8/WOxf01DADhrSHKoL586EQMWUTdgNRswICUGA1Iahy+nWw2o86pfdG+vDV8HT1Tg4InG4ctmNtRNNdZf2zHBihirkeGLqAX/q113cMQZSegTZ23Va6JtRkzJ7of3th7F5h8KcU5GKvYfr8DOfcX4dn8JHC7Nf6zNbMCowUk4a0hywFI7FPkYsIi6OYup6fDlcmt1jVUbLKxdVulCjUvFoYJKHCqobPRaqy981av78o1+xdgYvohUTeDz73zF7a0bvfLJGZqMr38sQWGZA8vX7wzYFxdtwugz+2J0el8MGRDf4rQjRSYGLKIezGzS49TkaJya3LjvjcujeacdA9Z2rEGR3YHSChccLhWHCypxOGj40iM53jfVaK33ZxtiGb6ol9i5rxiVrShuD0anU7wF7+/uhQSQnGDF6HRvqDqjXyx0/DvU7TFgEfVSZqO34WCwpoNuX/iqnXqsPwLmDV8aDhdW4nBh4/BlMekbrOvoHflKSbAiNsrE8EU9xqe104MTM/u1qzfVgJQYXHn+YPTvG41hpyXw70YPw4BFRI2YjHqc0jcapwQJXx5VQ5HdGbC2o6/hammFE063hiOFVThSWNXotWajvtG0oy+MxUczfFH3UVhav7g9rd3n6RNnQWqijZ/9HogBi4jaxGjQ45Q+UTilT1SjfR5VoNjesMmqd/TrZIUTLo+Go0VVOFrUOHyZjDokx9eGrsS6US+GL4pEvs7tIwe1vridehcGLCIKGaNBh359otCvifBVUu5o1OW+sLQGJyuccHsEjhVX4VhxkPBl0DWadvT9OT7GzHoV6lIeVeBzX+f2VrZmoN6HAYuIuoTRoENaUhTSkhqHL1UTKCl31lvbsa7Jakm5E25V4FhxNY4VVzd6rcmgQ98Eq7fNRILNO/oV7y24Z/iizrBzXzGqHB4kxJiR2Uxxu4T3SV5NSAghoUnvv6WUALyfS4NOx9HZHooBi4jCzqDXITXRhtREW6N9qiZwstyJwiBd7kvs3vD1U3E1fgoSvgx6Xb2ar8Au94mxFoYvapdPv67r3N5UcbuiAFaTHqomodN5n+g1GfQwGXUw6nXQ63XQ6xTo9QqsJv4q7on4X5WIIppBr0NKog0piTYAgaMFqiZwssLpn2osKqsrui8pd0LVBI6XVON4SfDw1TfeErCgdnKiDSnxteFLx/BFgSpq3Mj7oRB7jtihKN6nB5sSbTViUL846GpDFMN876NI71glhYGmCZSWNv7BT0QdpwnvyJevsWr9Lvcldgc00fSPPoNeQd/42mnHxMC1HZMYvnoVp1vFVz+WIO+HQvxwsBSi9lfmmCF9cfPMkWG+OgqHxMQo6FvR/JUBK4wYsIjCQxMCpRWueoX2dU1Wi+0OqFrTPxb1utrw1aDHV3KiDUmx5nb1Q6LIomoCuw6VIu+HQuz8sRhuj/DvOz01BuMyUjE5qx/MRn0Yr5LChQGrG2DAIoo8QkiUVjhRaK9dULveU4+tCV994iz11nasG/3qE2dh+IpgUkrs/6kCm3cVYNvuIlQ56hZZTo63YlxGCs4enhL0IQ3qXRiwugEGLKLuRQiJ0kpnwILadX92QNVEk6/V6xQkxVkCCu19o19JcRauNxcmx0uqkberAHk/FKKk3OnfHmszImdYCsZlpOCMtFg+6Ud+DFjdAAMWUc8hpERZhcvbWNXuQFFpvXYTdgc8atPhS6d4R74aPumYkmhDH4avkCurdGHLrkLk7SoIWHHAbNJj9Jl9MT4jBcNOT+CIIwXFgNUNMGAR9Q5CStgrXf5Rr/prPBaVOeBuJnwpCmrDly0ggMXaTLCa9bCYDLCa9TAb9RxlaUaNU8WOvUXI21WIPYfL4PvFp9cpGDEwEeMyUpF1Zh/WVVGLGLC6AQYsIhJSorzK7W0zYa8d9SqtnXa01wQUWDdHUeAPW1azAVaTARazHtbabd59BlhNeljMBtjMdfsttdutZgPMJn2PaSngUQW+3V+CvF2F+Cb/ZMAU7uD+cRg/PAVjhiYjxmYK41VSd8OA1Q0wYBFRc6SUsFe5g456VTs9cLg0ONwqQv1T3FIbtuoHsrp/GwJGzuqOaxzowtHOQkiJvUfsyPuhANv3FsPhUv37+vWJwrjhKRg3PAV94rl+ILUPA1Y3wIBFRB0lpYTbI+Bwq3C4VDjdGmpcKpwu1R/AnC4VDrfm/7fDpdb+o8HprvuzCPGvA7NRD4tZ7x0t8wUyU4ORM38oCz7SZjXrW6yFklLiaFEV8n4oxJbdhSirdPn3JcSYcXZtqDo1OZrTqNRhDFjdAAMWEUUKKSU8qqgXxFQ4nHWBzOkLZm4VTn9wqxfW3LWBzqU228S1PUwGXW3YqpvK9I2yGfU67DlShsIyh/94q9mAnKF9MW54KtIHxPeYKU+KDAxY3QADFhH1RN6gVjeK5nSrtaNqWsBIW7BRtPojbs09edmQQa9g1OA+GDc8FZmDkmA08AlA6hytDVhci5CIiELKaNDBaDAhtoPF46om6gUxNeDPvpG2aqcHMTYTxmekIDbKHKJ3QNRxDFhERBSRDHodoq06RFuN4b4UojbjGGobCCGwatUqTJw4EVlZWbjhhhtw9OjRcF8WERERRRgGrDZ46qmn8Oqrr2Lp0qV47bXXIITA9ddfD7fbHe5LIyIiogjCgNVKbrcba9euxW233YYpU6Zg6NChePzxx1FQUID3338/3JdHREREEYQBq5X27NmD6upqjB8/3r8tNjYWw4cPx7Zt28J4ZURERBRpGLBaqaCgAACQlpYWsD05Odm/j4iIiAhgwGo1h8PbxM5kCnzs2Gw2w+VyBXsJERER9VIMWK1ksVgAoFFBu8vlgtXKNa2IiIioDgNWK/mmBouKigK2FxUVISUlJRyXRERERBGKAauVhg4diujoaGzZssW/raKiArt27UJOTk4Yr4yIiIgiDTu5t5LJZEJubi5WrFiBxMREnHLKKXj00UeRmpqKadOmhfvyiIiIKIIwYLXBbbfdBlVVcffdd8PpdCInJwcvvPACjEYu40BERER1FCmlDPdF9FaaJlBaWh3uyyAiIqJWSkyMgl7fcoUVa7CIiIiIQowBi4iIiCjEOEUYRlJKCMHbT0RE1F3odAoURWnxOAYsIiIiohDjFCERERFRiDFgEREREYUYAxYRERFRiDFgEREREYUYAxYRERFRiDFgEREREYUYAxYRERFRiDFgEREREYUYAxYRERFRiDFgEREREYUYAxYRERFRiDFgEREREYUYAxYRERFRiDFgUbs9++yzuOaaawK2ffbZZ5g1axays7MxY8YM/Pvf/w7YX11djQceeAATJkzAmDFjcMMNN2D//v0Bx2zevBmXX345Ro0ahYsuughvv/12p7+X7qg997+4uBgLFy7EuHHjcM4552Dp0qWoqakJOObdd9/FxRdfjMzMTFx22WXYvHlzp7+X7sJut+Pee+/FpEmTMHr0aFx99dXYvn27f39Ln12Xy4UHHngA48ePR3Z2Nn7/+9+jtLQ04Bh+/pvW0ftf37333oslS5Y02s7737SO3v8TJ05g4cKFOPfcc5GTk4PrrrsOP/74Y8AxPernjyRqh/Xr18uhQ4fK3Nxc/7bt27fLIUOGyAcffFDm5+fLf//73zI7O1u+8cYb/mPuuOMO+fOf/1zu2LFD5ufny3nz5skpU6ZIp9MppZQyPz9fjhw5Uj722GMyPz9fPv/883L48OHyyy+/7Oq3GNHac//dbrecPn26nD59uty2bZv8/vvv5ZVXXimvvfZa/zk2b94sMzIy5EsvvSTz8/PlQw89JEeMGCHz8/O7+B1Gpjlz5vjv34EDB+QDDzwgMzMz5f79+1v12V2yZIm84IIL5LZt2+Q333wjL7vsMjl79mz/fn7+m9fR+y+llJqmyZUrV8r09HR5xx13BOzj/W9eR+6/y+WS06dPl7m5ufLbb7+V+/btk7feeqscP368PHnypJSy5/38YcCiNikoKJDz5s2TWVlZ8qKLLgr4BX/TTTfJX/7ylwHHP/XUU/K8887zf33WWWfJl19+2f/17t27ZXp6uvz++++llFLec8898oorrgg4x8KFC+XcuXM74+10Ox25/x988IFMT08P+GF14sQJOWTIELllyxYppZRz586Vt99+e8A5rrzySnnPPfd00jvqPg4dOiTT09Pl9u3b/duEEPKCCy6QTzzxRIuf3YKCAjl06FD5ySef+PcfOHBApqeny507d0op+flvTkfvv5TeAHXllVfKcePGySlTpjQKWLz/Tevo/f/iiy9kenq6LCgo8O93Op1y1KhR8h//+IeUsuf9/OEUIbXJDz/8AKPRiE2bNmHUqFEB+w4fPoyzzjorYNvw4cPx008/4fjx4wCApKQkvPPOOzh58iTcbjf++c9/Ij4+HgMGDAAAbN++HePHjw84x7hx47Bjxw5IKTvxnXUPHbn/hw4dQkJCAgYNGuTfn5qaioSEBGzduhVCCOzcubPR/T/77LOxbdu2zntT3URCQgLWrFmDkSNH+rcpigJFUVBRUdHiZ3fHjh3+bT4DBw5ESkqK//7y89+0jt5/AMjLy8OgQYPw73//G/3792/0PXj/m9bR+3/mmWdizZo1SElJ8e/X6bwRpKKiokf+/GHAojaZOnUqVq9ejVNPPbXRvuTkZJw4cSJg27FjxwAAJ0+eBAAsW7YMhYWFOOecc5CVlYU333wTzz33HGJiYgAABQUFSE1NbXReh8OBsrKyznhL3UpH7n9ycjIqKytRVVXl319VVYXy8nKUlpaioqICNTU1Qe9/QUFBJ7yb7iU2NhaTJ0+GyWTyb3vvvfdw+PBhTJw4scXPbmFhIRISEmA2mxsd47u//Pw3raP3HwBmz56NZcuWISkpKej34P1vWkfvf9++fTF58uSA/X/729/gdDpx7rnn9sifPwxYFDK/+MUv8P7772PTpk1QVRW7d+/G2rVrAQAejwcAsHfvXpx66ql48cUX8eqrr+Lss8/GLbfc4g8GTqcz4C8wAP/Xbre7C99N99PS/Z80aRJiYmJw1113wW63o6qqCvfddx8URYHH44HT6QSARvffbDbD5XJ1+fuJdDt37sSdd96JadOmYcqUKS1+dh0OR6P9QOD95ee/9dp6/1uD97/1Onr/P/jgA6xcuRK/+c1vMGTIkB7584cBi0Lmsssuw/z583HPPfdg5MiRmD9/Pq6//noAQExMDL7++mssXboUf/7zn/0jWE888QRMJpM/CJjN5kZ/GX1fW63Wrn1D3UxL9z8+Ph5PP/009uzZg3HjxmHChAlIS0tDRkYGoqOj/SMrDe+/y+XivW/gww8/xNy5c5GVlYUVK1YAaPmza7FYgv6iqX9/+flvnfbc/9bg/W+djt7///u//8Ptt9+OGTNmYPHixf7X13+NT3f++cOARSE1f/587Ny5E5988gk+/PBD9OvXD3q9Hv369cOOHTuQlJSEfv36+Y83Go0YPnw4Dh8+DABIS0tDUVFRwDmLiopgs9n804jUtObuPwBkZ2fjvffewxdffIG8vDwsWrQIR48exYABAxAfHw+bzRb0/tevm+jt1q9fj1tvvRXnnXcennnmGf8vhpY+u6mpqbDb7Y1+gdS/v/z8t6y99781eP9b1tH7/+ijj+L+++/Hr3/9a/z5z3/212H1xJ8/DFgUMuvXr8fSpUuh1+uRkpICnU6H9957D9nZ2YiKikJqairKysoC/gIJIZCfn4/TTz8dADBmzBhs3bo14Lx5eXkYPXq0/y8iBdfS/T98+DCuuuoqlJaWIikpCRaLBdu3b4fdbsc555wDRVEwevToRvd/y5YtGDNmTJjeVWR59dVXsXTpUsyePRuPPfZYwHRGS5/ds846C0IIf7E7ABw8eBCFhYXIyclp1Tl6u47c/9bg/W9eR+//o48+iueffx533HEHlixZAkVR/Mf2yJ8/4XyEkbq3O+64I6BNwJdffimHDx8u33jjDXn06FH57LPPyoyMDH8LgOrqajlt2jR55ZVXyq+//lrm5+fLP/7xjzIrK0sePXpUSinlvn37ZEZGhnz00Udlfn6+fOGFF9iHpgltvf8ej0dOnTpV/u53v5MHDx6UeXl5ctKkSfLuu+/2n+Ozzz6Tw4YNk2vXrpX5+fny4YcflpmZmd22D00oHThwQGZkZMj58+fLoqKigH8qKipa9dlduHChnDp1qszLy/P3war/35Cf/6aF4v7Xl5ub26hNA+9/0zp6//Py8mR6erpcunRpo9dXVVVJKXvezx8GLGq3hr/gpZTyH//4h/zZz34mMzMz5eWXXy7/97//BewvKCiQCxculOeee64cM2aMnDNnjty9e3fAMZ9++qmcPn26HDFihLzooovk22+/3envpTtqz/3Pz8+X1157rczKypKTJk2Sjz32mPR4PAHHvPHGG/JnP/uZHDlypJw5cyZ/udR6+umnZXp6etB/fL+oW/rsVldXy7vuukuOGTNGjhkzRi5cuFCWlpYGHMPPf3ChuP/1BQtYbT1Hb9LR+3/33Xc3+fpVq1b5j+tJP38UKXt5cw8iIiKiEOOkMhEREVGIMWARERERhRgDFhEREVGIMWARERERhRgDFhEREVGIMWARERERhRgDFhEREVGIMWARERERhRgDFhEREVGIMWARERERhRgDFhEREVGIMWAREQXx8MMPIzMzE5WVlQHbn3rqKZx11llwOBzYt28f5s2bh9GjR2P06NGYP38+jh49GnD8nj17cMstt2DcuHHIyMjAxIkT8ac//QlOp9N/zJAhQ/Dkk0/i8ssvR2ZmJp588skueY9E1HkYsIiIgrjiiivgcrnwn//8J2D7v/71L1x88cUoKCjAVVddhZMnT+Lhhx/GsmXLcPToUVx99dU4efIkAKCoqAizZ8+Gw+HAQw89hOeeew6XXHIJ/va3v+Hll18OOO8zzzyDGTNmYNWqVbjwwgu77H0SUedQpJQy3BdBRBSJrrrqKhgMBqxfvx4AsHPnTlx99dV47bXXsH79euTl5eG9995DdHQ0AMBut+OCCy7AL3/5S9xxxx34/PPP8cwzz+CZZ57xHwMAM2bMQHJyMl544QUA3hGs8ePHY926dV3+Homoc3AEi4ioCbNmzcL27dvx008/AQDeeOMNDBw4ENnZ2cjLy8PYsWNhsVigqipUVUV0dDTGjBmDL7/8EgAwYcIErF+/HmazGfn5+fjoo4/w9NNPo7S0FG63O+B7DRs2rMvfHxF1HkO4L4CIKFJdfPHFWL58Of71r3/huuuuw7vvvosbb7wRgHe06p133sE777zT6HWJiYkAACEEHnvsMbzyyiuoqalBWloaMjMzYTabG73GZrN17pshoi7FgEVE1ISoqChcdNFFePfdd5Geno6amhr84he/AADExMTgnHPOwZw5cxq9zmDw/mhds2YN1q1bhwceeADTpk1DTEwMAG99FxH1bAxYRETNuOKKK7Bx40a89NJLOOecc5CSkgIAGDt2LPLz8zFs2DB/oJJSYtGiRTjttNMwbNgw7NixA4MHD8asWbP85yssLMS+ffswcuTIsLwfIuoarMEiImrGWWedhYEDB2Lr1q24/PLL/dtvvvlmHDlyBPPmzcOHH36Izz77DLfeeivefvttDB06FACQmZmJvXv3Ys2aNdi6dSv+8Y9/YPbs2XC73XA4HOF6S0TUBTiCRUTUgilTpqC0tBQXXHCBf9vQoUPxyiuv4PHHH8fixYshpUR6ejr++te/4vzzzwcAzJs3D2VlZXj55Zfx17/+FWlpafjFL34BRVHw7LPPoqKiArGxseF6W0TUidimgYioGVJKXHLJJZgwYQL++Mc/hvtyiKib4AgWEVEQVVVVWLduHb777jscPXoU11xzTbgviYi6EQYsIqIgLBYLXnvtNQghsHz5cpx66qnhviQi6kY4RUhEREQUYnyKkIiIiCjEGLCIiIiIQowBi4iIiCjEGLCIiIiIQowBi4iIiCjEGLCIiIiIQowBi4iIiCjEGLCIiIiIQuz/A2EJzcwtrd/fAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# years of release to price correlation\n",
    "def brandStats(b):\n",
    "    sns.lineplot(df.loc[df['brand'] == b], x = 'year', y = 'price')\n",
    "    plt.plot()\n",
    "    plt.title(b+ '. Years of release prices')\n",
    "\n",
    "brandStats(b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "coloraxis": "coloraxis",
         "hovertemplate": "city=%{x}<br>price=%{y}<br>count=%{z}<extra></extra>",
         "name": "",
         "nbinsx": 20,
         "nbinsy": 20,
         "texttemplate": "%{z}",
         "type": "histogram2d",
         "x": [
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Sharjah",
          "Dubai",
          "Dubai",
          "Abu Dhabi",
          "Sharjah",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Sharjah",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Dubai",
          "Ajman",
          "Dubai",
          "Dubai",
          "Dubai",
          "Sharjah"
         ],
         "xaxis": "x",
         "xbingroup": "x",
         "y": [
          395000,
          469999,
          13000,
          477000,
          411000,
          215000,
          347000,
          163000,
          175000,
          110000,
          42000,
          320000,
          320000,
          489000,
          69000,
          215000,
          57000,
          347000,
          15500,
          110000,
          212000,
          40000,
          499000,
          40000,
          40000,
          355000,
          355000,
          555000,
          95000,
          95000,
          115000,
          440999,
          458999,
          115000,
          440999,
          458999,
          279000,
          230000,
          27000,
          34000,
          279000,
          147000,
          35000,
          37500,
          89000,
          470000,
          35000,
          470000,
          24600,
          175000,
          125000,
          179000,
          54000,
          54000,
          25000,
          25000,
          106900,
          72900,
          72900,
          209900,
          9000,
          49000,
          9000,
          415000,
          415000,
          95000,
          123000,
          100000,
          65000,
          40000
         ],
         "yaxis": "y",
         "ybingroup": "y"
        }
       ],
       "layout": {
        "coloraxis": {
         "colorbar": {
          "title": {
           "text": "count"
          }
         },
         "colorscale": [
          [
           0,
           "#0d0887"
          ],
          [
           0.1111111111111111,
           "#46039f"
          ],
          [
           0.2222222222222222,
           "#7201a8"
          ],
          [
           0.3333333333333333,
           "#9c179e"
          ],
          [
           0.4444444444444444,
           "#bd3786"
          ],
          [
           0.5555555555555556,
           "#d8576b"
          ],
          [
           0.6666666666666666,
           "#ed7953"
          ],
          [
           0.7777777777777778,
           "#fb9f3a"
          ],
          [
           0.8888888888888888,
           "#fdca26"
          ],
          [
           1,
           "#f0f921"
          ]
         ]
        },
        "height": 512,
        "legend": {
         "tracegroupgap": 0
        },
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "fillpattern": {
             "fillmode": "overlay",
             "size": 10,
             "solidity": 0.2
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Cadillac popularity in regions"
        },
        "width": 512,
        "xaxis": {
         "anchor": "y",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "city"
         }
        },
        "yaxis": {
         "anchor": "x",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "price"
         }
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Selected car brand popularity in UAE regions\n",
    "def CarAnalysis(b):\n",
    "    fig = px.density_heatmap(df.loc[df.brand == b], x=\"city\", y=\"price\", nbinsx=20, nbinsy=20, width=512, height=512, text_auto=True, title=b+' popularity in regions')\n",
    "    fig.show()\n",
    "\n",
    "CarAnalysis(b)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "pp = pd.read_csv('./datasets/dubizzle_cars_dataset.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>price</th>\n",
       "      <th>brand</th>\n",
       "      <th>model</th>\n",
       "      <th>trim</th>\n",
       "      <th>kilometers</th>\n",
       "      <th>year</th>\n",
       "      <th>vehicle_age_years</th>\n",
       "      <th>regional_specs</th>\n",
       "      <th>doors</th>\n",
       "      <th>body_type</th>\n",
       "      <th>...</th>\n",
       "      <th>interior_color</th>\n",
       "      <th>warranty</th>\n",
       "      <th>address</th>\n",
       "      <th>country</th>\n",
       "      <th>city</th>\n",
       "      <th>area_name</th>\n",
       "      <th>location_name</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>seller_type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8101</th>\n",
       "      <td>2000</td>\n",
       "      <td>Rolls-Royce</td>\n",
       "      <td>Cullinan</td>\n",
       "      <td>Black Badge</td>\n",
       "      <td>6200</td>\n",
       "      <td>2023</td>\n",
       "      <td>1</td>\n",
       "      <td>European Specs</td>\n",
       "      <td>5</td>\n",
       "      <td>SUV</td>\n",
       "      <td>...</td>\n",
       "      <td>Other Color</td>\n",
       "      <td>Does not apply</td>\n",
       "      <td>Canal Cove Frond E, Canal Cove, Palm Jumeirah,...</td>\n",
       "      <td>UAE</td>\n",
       "      <td>Dubai</td>\n",
       "      <td>Palm Jumeirah</td>\n",
       "      <td>Canal Cove</td>\n",
       "      <td>25.120835</td>\n",
       "      <td>55.130562</td>\n",
       "      <td>Owner</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 27 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      price        brand     model         trim  kilometers  year  \\\n",
       "8101   2000  Rolls-Royce  Cullinan  Black Badge        6200  2023   \n",
       "\n",
       "      vehicle_age_years  regional_specs  doors body_type  ... interior_color  \\\n",
       "8101                  1  European Specs      5       SUV  ...    Other Color   \n",
       "\n",
       "            warranty                                            address  \\\n",
       "8101  Does not apply  Canal Cove Frond E, Canal Cove, Palm Jumeirah,...   \n",
       "\n",
       "     country   city      area_name location_name   latitude  longitude  \\\n",
       "8101     UAE  Dubai  Palm Jumeirah    Canal Cove  25.120835  55.130562   \n",
       "\n",
       "     seller_type  \n",
       "8101       Owner  \n",
       "\n",
       "[1 rows x 27 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pp.sample()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Brand, Model, Trim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "pp.trim = pp.trim.replace('Other','')\n",
    "pp['brand_model_trim'] = pp.brand + ' ' + pp.model + ' ' + pp.trim"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Engine capacity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['4000+ cc', '2500 - 2999 cc', '2000 - 2499 cc', '1500 - 1999 cc',\n",
       "       '3500 - 3999 cc', nan, 'Unknown', '3000 - 3499 cc',\n",
       "       '1000 - 1499 cc', '0 - 499 cc', '500 - 999 cc'], dtype=object)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pp.engine_capacity_cc.unique()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "pp.engine_capacity_cc = pp.engine_capacity_cc.replace('Unknown', np.nan)\n",
    "\n",
    "pp['engine_capacity_cc'] = pp['engine_capacity_cc'].str.replace(' cc', '')\n",
    "pp['engine_capacity_cc'] = pp['engine_capacity_cc'].str.replace('+', ' - 4100')\n",
    "\n",
    "pp[['ec1', 'ec2']] = pp['engine_capacity_cc'].str.split(' - ', expand=True)\n",
    "pp[['ec1', 'ec2']] = pp[['ec1', 'ec2']].astype('float32')\n",
    "\n",
    "mean1 = pp.ec1.mean()\n",
    "mean2 = pp.ec2.mean()\n",
    "pp.ec1 = pp.ec1.replace(np.nan, mean1)\n",
    "pp.ec2 = pp.ec2.replace(np.nan, mean2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Horsepower"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['300 - 399 HP', '500 - 599 HP', '200 - 299 HP', '400 - 499 HP',\n",
       "       '100 - 199 HP', nan, '600 - 699 HP', '900+ HP', '700 - 799 HP',\n",
       "       'Unknown', '800 - 899 HP', '0 - 99 HP'], dtype=object)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pp.horsepower.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "mode = pp['horsepower'].mode()[0]\n",
    "pp.horsepower = pp.horsepower.replace('Unknown', np.nan)\n",
    "\n",
    "pp['horsepower'] = pp['horsepower'].str.replace(' HP', '')\n",
    "pp['horsepower'] = pp['horsepower'].str.replace('+', ' - 999')\n",
    "\n",
    "pp[['hp1', 'hp2']] = pp['horsepower'].str.split(' - ', expand=True)\n",
    "pp[['hp1', 'hp2']] = pp[['hp1', 'hp2']].astype('float32')\n",
    "\n",
    "mean1 = pp.hp1.mean()\n",
    "mean2 = pp.hp2.mean()\n",
    "pp.hp1 = pp.hp1.replace(np.nan, mean1)\n",
    "pp.hp2 = pp.hp2.replace(np.nan, mean2)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([300.     , 500.     , 200.     , 400.     , 100.     , 293.24158,\n",
       "       600.     , 900.     , 700.     , 800.     ,   0.     ],\n",
       "      dtype=float32)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pp.hp1.unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Warranty"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Yes', 'No', 'Does not apply'], dtype=object)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pp.warranty.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ivprint\\AppData\\Local\\Temp\\ipykernel_18568\\2737886710.py:4: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
      "  pp.warranty = pp.warranty.replace('Yes', True)\n"
     ]
    }
   ],
   "source": [
    "pp.warranty = pp.warranty.replace('Does not apply', 'No')\n",
    "\n",
    "pp.warranty = pp.warranty.replace('No', False)\n",
    "pp.warranty = pp.warranty.replace('Yes', True)\n",
    "\n",
    "pp.warranty = pp.warranty.astype('bool')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Transmission"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# transmission\n",
    "\n",
    "pp.transmission_type = pp.transmission_type.str.replace('Manual Transmission', 'True')\n",
    "pp.transmission_type = pp.transmission_type.str.replace('Automatic Transmission', 'False')\n",
    "\n",
    "pp = pp.rename(columns={'transmission_type':'transmission_is_manual'})\n",
    "\n",
    "pp.transmission_is_manual = pp.transmission_is_manual.astype('bool')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['price', 'brand', 'model', 'trim', 'kilometers', 'year',\n",
       "       'vehicle_age_years', 'regional_specs', 'doors', 'body_type',\n",
       "       'fuel_type', 'seating_capacity', 'transmission_is_manual',\n",
       "       'engine_capacity_cc', 'horsepower', 'no_of_cylinders', 'exterior_color',\n",
       "       'interior_color', 'warranty', 'address', 'country', 'city', 'area_name',\n",
       "       'location_name', 'latitude', 'longitude', 'seller_type',\n",
       "       'brand_model_trim', 'ec1', 'ec2', 'hp1', 'hp2'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pp.columns.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>price</th>\n",
       "      <th>brand</th>\n",
       "      <th>model</th>\n",
       "      <th>trim</th>\n",
       "      <th>kilometers</th>\n",
       "      <th>year</th>\n",
       "      <th>vehicle_age_years</th>\n",
       "      <th>regional_specs</th>\n",
       "      <th>doors</th>\n",
       "      <th>body_type</th>\n",
       "      <th>...</th>\n",
       "      <th>area_name</th>\n",
       "      <th>location_name</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>seller_type</th>\n",
       "      <th>brand_model_trim</th>\n",
       "      <th>ec1</th>\n",
       "      <th>ec2</th>\n",
       "      <th>hp1</th>\n",
       "      <th>hp2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4657</th>\n",
       "      <td>63000</td>\n",
       "      <td>Honda</td>\n",
       "      <td>Accord</td>\n",
       "      <td>LX</td>\n",
       "      <td>147522</td>\n",
       "      <td>2019</td>\n",
       "      <td>5</td>\n",
       "      <td>GCC Specs</td>\n",
       "      <td>4</td>\n",
       "      <td>Sedan</td>\n",
       "      <td>...</td>\n",
       "      <td>Al Muroor</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.472506</td>\n",
       "      <td>54.376269</td>\n",
       "      <td>Dealer</td>\n",
       "      <td>Honda Accord LX</td>\n",
       "      <td>1500.000000</td>\n",
       "      <td>1999.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>199.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8407</th>\n",
       "      <td>53000</td>\n",
       "      <td>Nissan</td>\n",
       "      <td>X-Trail</td>\n",
       "      <td>SL Plus</td>\n",
       "      <td>46000</td>\n",
       "      <td>2020</td>\n",
       "      <td>4</td>\n",
       "      <td>American Specs</td>\n",
       "      <td>4</td>\n",
       "      <td>SUV</td>\n",
       "      <td>...</td>\n",
       "      <td>Saif Zone (Sharjah International Airport Free ...</td>\n",
       "      <td>Souq Al Haraj / Tasjeel Village</td>\n",
       "      <td>25.343567</td>\n",
       "      <td>55.473511</td>\n",
       "      <td>Dealer</td>\n",
       "      <td>Nissan X-Trail SL Plus</td>\n",
       "      <td>2701.276611</td>\n",
       "      <td>3108.967041</td>\n",
       "      <td>293.241577</td>\n",
       "      <td>392.241577</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      price   brand    model     trim  kilometers  year  vehicle_age_years  \\\n",
       "4657  63000   Honda   Accord       LX      147522  2019                  5   \n",
       "8407  53000  Nissan  X-Trail  SL Plus       46000  2020                  4   \n",
       "\n",
       "      regional_specs  doors body_type  ...  \\\n",
       "4657       GCC Specs      4     Sedan  ...   \n",
       "8407  American Specs      4       SUV  ...   \n",
       "\n",
       "                                              area_name  \\\n",
       "4657                                          Al Muroor   \n",
       "8407  Saif Zone (Sharjah International Airport Free ...   \n",
       "\n",
       "                        location_name   latitude  longitude seller_type  \\\n",
       "4657                              NaN  24.472506  54.376269      Dealer   \n",
       "8407  Souq Al Haraj / Tasjeel Village  25.343567  55.473511      Dealer   \n",
       "\n",
       "            brand_model_trim          ec1          ec2         hp1         hp2  \n",
       "4657         Honda Accord LX  1500.000000  1999.000000  100.000000  199.000000  \n",
       "8407  Nissan X-Trail SL Plus  2701.276611  3108.967041  293.241577  392.241577  \n",
       "\n",
       "[2 rows x 32 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pp.sample(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import LabelEncoder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# label encoder\n",
    "\n",
    "labelencoder = LabelEncoder()\n",
    "\n",
    "pp.brand_model_trim = labelencoder.fit_transform(pp.brand_model_trim) # brand model trim\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [],
   "source": [
    "# label decoder\n",
    "pp.brand_model_trim = labelencoder.inverse_transform(pp.brand_model_trim)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---------------------------------------------------------------------------------------------------------------------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# drop\n",
    "\n",
    "ppF = pp.drop(columns=['brand','model','trim','country',\n",
    "                       'vehicle_age_years','horsepower',\n",
    "                       'engine_capacity_cc'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = ppF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.to_csv('./datasets/clear_data.csv')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
